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translation | transformers |
### opus-mt-en-lu
* source languages: en
* target languages: lu
* OPUS readme: [en-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lu/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lu | 34.1 | 0.564 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-lu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-lua
* source languages: en
* target languages: lua
* OPUS readme: [en-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lua/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lua | 35.3 | 0.578 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-lua | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lua",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-lue
* source languages: en
* target languages: lue
* OPUS readme: [en-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lue/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lue | 30.1 | 0.558 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-lue | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lue",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-lun
* source languages: en
* target languages: lun
* OPUS readme: [en-lun](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lun/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lun/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lun | 28.9 | 0.552 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-lun | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lun",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-luo
* source languages: en
* target languages: luo
* OPUS readme: [en-luo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-luo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-luo/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.luo | 27.6 | 0.495 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-luo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"luo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-lus
* source languages: en
* target languages: lus
* OPUS readme: [en-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lus/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lus | 36.8 | 0.581 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-lus | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lus",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-map
* source group: English
* target group: Austronesian languages
* OPUS readme: [eng-map](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 2.2 | 0.103 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.7 | 0.425 |
| Tatoeba-test.eng-cha.eng.cha | 3.2 | 0.201 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.5 | 0.120 |
| Tatoeba-test.eng-fij.eng.fij | 26.8 | 0.453 |
| Tatoeba-test.eng-gil.eng.gil | 59.3 | 0.762 |
| Tatoeba-test.eng-haw.eng.haw | 1.0 | 0.116 |
| Tatoeba-test.eng-hil.eng.hil | 19.0 | 0.517 |
| Tatoeba-test.eng-iba.eng.iba | 15.5 | 0.400 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.6 | 0.591 |
| Tatoeba-test.eng-jav.eng.jav | 7.8 | 0.301 |
| Tatoeba-test.eng-lkt.eng.lkt | 1.0 | 0.064 |
| Tatoeba-test.eng-mad.eng.mad | 1.1 | 0.142 |
| Tatoeba-test.eng-mah.eng.mah | 9.1 | 0.374 |
| Tatoeba-test.eng-mlg.eng.mlg | 35.4 | 0.526 |
| Tatoeba-test.eng-mri.eng.mri | 7.6 | 0.309 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.565 |
| Tatoeba-test.eng.multi | 17.6 | 0.411 |
| Tatoeba-test.eng-nau.eng.nau | 1.4 | 0.098 |
| Tatoeba-test.eng-niu.eng.niu | 40.1 | 0.560 |
| Tatoeba-test.eng-pag.eng.pag | 16.8 | 0.526 |
| Tatoeba-test.eng-pau.eng.pau | 1.9 | 0.139 |
| Tatoeba-test.eng-rap.eng.rap | 2.7 | 0.090 |
| Tatoeba-test.eng-smo.eng.smo | 24.9 | 0.453 |
| Tatoeba-test.eng-sun.eng.sun | 33.2 | 0.439 |
| Tatoeba-test.eng-tah.eng.tah | 12.5 | 0.278 |
| Tatoeba-test.eng-tet.eng.tet | 1.6 | 0.140 |
| Tatoeba-test.eng-ton.eng.ton | 25.8 | 0.530 |
| Tatoeba-test.eng-tvl.eng.tvl | 31.1 | 0.523 |
| Tatoeba-test.eng-war.eng.war | 12.8 | 0.436 |
### System Info:
- hf_name: eng-map
- source_languages: eng
- target_languages: map
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-map/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'map']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-map/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: map
- short_pair: en-map
- chrF2_score: 0.41100000000000003
- bleu: 17.6
- brevity_penalty: 1.0
- ref_len: 66963.0
- src_name: English
- tgt_name: Austronesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: map
- prefer_old: False
- long_pair: eng-map
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "map"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-map | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"map",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mfe
* source languages: en
* target languages: mfe
* OPUS readme: [en-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mfe/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mfe/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mfe | 32.1 | 0.509 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mfe | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mfe",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mg
* source languages: en
* target languages: mg
* OPUS readme: [en-mg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.en.mg | 22.3 | 0.565 |
| Tatoeba.en.mg | 35.5 | 0.548 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mh
* source languages: en
* target languages: mh
* OPUS readme: [en-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mh/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mh | 29.7 | 0.479 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mh | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mk
* source languages: en
* target languages: mk
* OPUS readme: [en-mk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mk/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.mk | 52.1 | 0.683 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-mkh
* source group: English
* target group: Mon-Khmer languages
* OPUS readme: [eng-mkh](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md)
* model: transformer
* source language(s): eng
* target language(s): kha khm khm_Latn mnw vie vie_Hani
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kha.eng.kha | 0.1 | 0.015 |
| Tatoeba-test.eng-khm.eng.khm | 0.2 | 0.226 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.7 | 0.003 |
| Tatoeba-test.eng.multi | 16.5 | 0.330 |
| Tatoeba-test.eng-vie.eng.vie | 33.7 | 0.513 |
### System Info:
- hf_name: eng-mkh
- source_languages: eng
- target_languages: mkh
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi', 'km', 'mkh']
- src_constituents: {'eng'}
- tgt_constituents: {'vie_Hani', 'mnw', 'vie', 'kha', 'khm_Latn', 'khm'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: mkh
- short_pair: en-mkh
- chrF2_score: 0.33
- bleu: 16.5
- brevity_penalty: 1.0
- ref_len: 34734.0
- src_name: English
- tgt_name: Mon-Khmer languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: mkh
- prefer_old: False
- long_pair: eng-mkh
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "vi", "km", "mkh"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mkh | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"vi",
"km",
"mkh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ml
* source languages: en
* target languages: ml
* OPUS readme: [en-ml](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ml/README.md)
* dataset: opus+bt+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt+bt-2020-04-28.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ml/opus+bt+bt-2020-04-28.zip)
* test set translations: [opus+bt+bt-2020-04-28.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ml/opus+bt+bt-2020-04-28.test.txt)
* test set scores: [opus+bt+bt-2020-04-28.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ml/opus+bt+bt-2020-04-28.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ml | 19.1 | 0.536 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ml | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ml",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mos
* source languages: en
* target languages: mos
* OPUS readme: [en-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mos/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mos/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mos/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mos | 26.9 | 0.417 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mos | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mos",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mr
* source languages: en
* target languages: mr
* OPUS readme: [en-mr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mr/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mr/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mr/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.mr | 22.0 | 0.397 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-mt
* source languages: en
* target languages: mt
* OPUS readme: [en-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-mt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-mt/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mt/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-mt/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.mt | 47.5 | 0.640 |
| Tatoeba.en.mt | 25.0 | 0.620 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-mul
* source group: English
* target group: Multiple languages
* OPUS readme: [eng-mul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md)
* model: transformer
* source language(s): eng
* target language(s): abk acm ady afb afh_Latn afr akl_Latn aln amh ang_Latn apc ara arg arq ary arz asm ast avk_Latn awa aze_Latn bak bam_Latn bel bel_Latn ben bho bod bos_Latn bre brx brx_Latn bul bul_Latn cat ceb ces cha che chr chv cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant cor cos crh crh_Latn csb_Latn cym dan deu dsb dtp dws_Latn egl ell enm_Latn epo est eus ewe ext fao fij fin fkv_Latn fra frm_Latn frr fry fuc fuv gan gcf_Latn gil gla gle glg glv gom gos got_Goth grc_Grek grn gsw guj hat hau_Latn haw heb hif_Latn hil hin hnj_Latn hoc hoc_Latn hrv hsb hun hye iba ibo ido ido_Latn ike_Latn ile_Latn ilo ina_Latn ind isl ita izh jav jav_Java jbo jbo_Cyrl jbo_Latn jdt_Cyrl jpn kab kal kan kat kaz_Cyrl kaz_Latn kek_Latn kha khm khm_Latn kin kir_Cyrl kjh kpv krl ksh kum kur_Arab kur_Latn lad lad_Latn lao lat_Latn lav ldn_Latn lfn_Cyrl lfn_Latn lij lin lit liv_Latn lkt lld_Latn lmo ltg ltz lug lzh lzh_Hans mad mah mai mal mar max_Latn mdf mfe mhr mic min mkd mlg mlt mnw moh mon mri mwl mww mya myv nan nau nav nds niu nld nno nob nob_Hebr nog non_Latn nov_Latn npi nya oci ori orv_Cyrl oss ota_Arab ota_Latn pag pan_Guru pap pau pdc pes pes_Latn pes_Thaa pms pnb pol por ppl_Latn prg_Latn pus quc qya qya_Latn rap rif_Latn roh rom ron rue run rus sag sah san_Deva scn sco sgs shs_Latn shy_Latn sin sjn_Latn slv sma sme smo sna snd_Arab som spa sqi srp_Cyrl srp_Latn stq sun swe swg swh tah tam tat tat_Arab tat_Latn tel tet tgk_Cyrl tha tir tlh_Latn tly_Latn tmw_Latn toi_Latn ton tpw_Latn tso tuk tuk_Latn tur tvl tyv tzl tzl_Latn udm uig_Arab uig_Cyrl ukr umb urd uzb_Cyrl uzb_Latn vec vie vie_Hani vol_Latn vro war wln wol wuu xal xho yid yor yue yue_Hans yue_Hant zho zho_Hans zho_Hant zlm_Latn zsm_Latn zul zza
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 5.0 | 0.288 |
| newsdev2015-enfi-engfin.eng.fin | 9.3 | 0.418 |
| newsdev2016-enro-engron.eng.ron | 17.2 | 0.488 |
| newsdev2016-entr-engtur.eng.tur | 8.2 | 0.402 |
| newsdev2017-enlv-englav.eng.lav | 12.9 | 0.444 |
| newsdev2017-enzh-engzho.eng.zho | 17.6 | 0.170 |
| newsdev2018-enet-engest.eng.est | 10.9 | 0.423 |
| newsdev2019-engu-engguj.eng.guj | 5.2 | 0.284 |
| newsdev2019-enlt-englit.eng.lit | 11.0 | 0.431 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 22.6 | 0.521 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 25.9 | 0.546 |
| newssyscomb2009-engces.eng.ces | 10.3 | 0.394 |
| newssyscomb2009-engdeu.eng.deu | 13.3 | 0.459 |
| newssyscomb2009-engfra.eng.fra | 21.5 | 0.522 |
| newssyscomb2009-enghun.eng.hun | 8.1 | 0.371 |
| newssyscomb2009-engita.eng.ita | 22.1 | 0.540 |
| newssyscomb2009-engspa.eng.spa | 23.8 | 0.531 |
| news-test2008-engces.eng.ces | 9.0 | 0.376 |
| news-test2008-engdeu.eng.deu | 14.2 | 0.451 |
| news-test2008-engfra.eng.fra | 19.8 | 0.500 |
| news-test2008-engspa.eng.spa | 22.8 | 0.518 |
| newstest2009-engces.eng.ces | 9.8 | 0.392 |
| newstest2009-engdeu.eng.deu | 13.7 | 0.454 |
| newstest2009-engfra.eng.fra | 20.7 | 0.514 |
| newstest2009-enghun.eng.hun | 8.4 | 0.370 |
| newstest2009-engita.eng.ita | 22.4 | 0.538 |
| newstest2009-engspa.eng.spa | 23.5 | 0.532 |
| newstest2010-engces.eng.ces | 10.0 | 0.393 |
| newstest2010-engdeu.eng.deu | 15.2 | 0.463 |
| newstest2010-engfra.eng.fra | 22.0 | 0.524 |
| newstest2010-engspa.eng.spa | 27.2 | 0.556 |
| newstest2011-engces.eng.ces | 10.8 | 0.392 |
| newstest2011-engdeu.eng.deu | 14.2 | 0.449 |
| newstest2011-engfra.eng.fra | 24.3 | 0.544 |
| newstest2011-engspa.eng.spa | 28.3 | 0.559 |
| newstest2012-engces.eng.ces | 9.9 | 0.377 |
| newstest2012-engdeu.eng.deu | 14.3 | 0.449 |
| newstest2012-engfra.eng.fra | 23.2 | 0.530 |
| newstest2012-engrus.eng.rus | 16.0 | 0.463 |
| newstest2012-engspa.eng.spa | 27.8 | 0.555 |
| newstest2013-engces.eng.ces | 11.0 | 0.392 |
| newstest2013-engdeu.eng.deu | 16.4 | 0.469 |
| newstest2013-engfra.eng.fra | 22.6 | 0.515 |
| newstest2013-engrus.eng.rus | 12.1 | 0.414 |
| newstest2013-engspa.eng.spa | 24.9 | 0.532 |
| newstest2014-hien-enghin.eng.hin | 7.2 | 0.311 |
| newstest2015-encs-engces.eng.ces | 10.9 | 0.396 |
| newstest2015-ende-engdeu.eng.deu | 18.3 | 0.490 |
| newstest2015-enfi-engfin.eng.fin | 10.1 | 0.421 |
| newstest2015-enru-engrus.eng.rus | 14.5 | 0.445 |
| newstest2016-encs-engces.eng.ces | 12.2 | 0.408 |
| newstest2016-ende-engdeu.eng.deu | 21.4 | 0.517 |
| newstest2016-enfi-engfin.eng.fin | 11.2 | 0.435 |
| newstest2016-enro-engron.eng.ron | 16.6 | 0.472 |
| newstest2016-enru-engrus.eng.rus | 13.4 | 0.435 |
| newstest2016-entr-engtur.eng.tur | 8.1 | 0.385 |
| newstest2017-encs-engces.eng.ces | 9.6 | 0.377 |
| newstest2017-ende-engdeu.eng.deu | 17.9 | 0.482 |
| newstest2017-enfi-engfin.eng.fin | 11.8 | 0.440 |
| newstest2017-enlv-englav.eng.lav | 9.6 | 0.412 |
| newstest2017-enru-engrus.eng.rus | 14.1 | 0.446 |
| newstest2017-entr-engtur.eng.tur | 8.0 | 0.378 |
| newstest2017-enzh-engzho.eng.zho | 16.8 | 0.175 |
| newstest2018-encs-engces.eng.ces | 9.8 | 0.380 |
| newstest2018-ende-engdeu.eng.deu | 23.8 | 0.536 |
| newstest2018-enet-engest.eng.est | 11.8 | 0.433 |
| newstest2018-enfi-engfin.eng.fin | 7.8 | 0.398 |
| newstest2018-enru-engrus.eng.rus | 12.2 | 0.434 |
| newstest2018-entr-engtur.eng.tur | 7.5 | 0.383 |
| newstest2018-enzh-engzho.eng.zho | 18.3 | 0.179 |
| newstest2019-encs-engces.eng.ces | 10.7 | 0.389 |
| newstest2019-ende-engdeu.eng.deu | 21.0 | 0.512 |
| newstest2019-enfi-engfin.eng.fin | 10.4 | 0.420 |
| newstest2019-engu-engguj.eng.guj | 5.8 | 0.297 |
| newstest2019-enlt-englit.eng.lit | 8.0 | 0.388 |
| newstest2019-enru-engrus.eng.rus | 13.0 | 0.415 |
| newstest2019-enzh-engzho.eng.zho | 15.0 | 0.192 |
| newstestB2016-enfi-engfin.eng.fin | 9.0 | 0.414 |
| newstestB2017-enfi-engfin.eng.fin | 9.5 | 0.415 |
| Tatoeba-test.eng-abk.eng.abk | 4.2 | 0.275 |
| Tatoeba-test.eng-ady.eng.ady | 0.4 | 0.006 |
| Tatoeba-test.eng-afh.eng.afh | 1.0 | 0.058 |
| Tatoeba-test.eng-afr.eng.afr | 47.0 | 0.663 |
| Tatoeba-test.eng-akl.eng.akl | 2.7 | 0.080 |
| Tatoeba-test.eng-amh.eng.amh | 8.5 | 0.455 |
| Tatoeba-test.eng-ang.eng.ang | 6.2 | 0.138 |
| Tatoeba-test.eng-ara.eng.ara | 6.3 | 0.325 |
| Tatoeba-test.eng-arg.eng.arg | 1.5 | 0.107 |
| Tatoeba-test.eng-asm.eng.asm | 2.1 | 0.265 |
| Tatoeba-test.eng-ast.eng.ast | 15.7 | 0.393 |
| Tatoeba-test.eng-avk.eng.avk | 0.2 | 0.095 |
| Tatoeba-test.eng-awa.eng.awa | 0.1 | 0.002 |
| Tatoeba-test.eng-aze.eng.aze | 19.0 | 0.500 |
| Tatoeba-test.eng-bak.eng.bak | 12.7 | 0.379 |
| Tatoeba-test.eng-bam.eng.bam | 8.3 | 0.037 |
| Tatoeba-test.eng-bel.eng.bel | 13.5 | 0.396 |
| Tatoeba-test.eng-ben.eng.ben | 10.0 | 0.383 |
| Tatoeba-test.eng-bho.eng.bho | 0.1 | 0.003 |
| Tatoeba-test.eng-bod.eng.bod | 0.0 | 0.147 |
| Tatoeba-test.eng-bre.eng.bre | 7.6 | 0.275 |
| Tatoeba-test.eng-brx.eng.brx | 0.8 | 0.060 |
| Tatoeba-test.eng-bul.eng.bul | 32.1 | 0.542 |
| Tatoeba-test.eng-cat.eng.cat | 37.0 | 0.595 |
| Tatoeba-test.eng-ceb.eng.ceb | 9.6 | 0.409 |
| Tatoeba-test.eng-ces.eng.ces | 24.0 | 0.475 |
| Tatoeba-test.eng-cha.eng.cha | 3.9 | 0.228 |
| Tatoeba-test.eng-che.eng.che | 0.7 | 0.013 |
| Tatoeba-test.eng-chm.eng.chm | 2.6 | 0.212 |
| Tatoeba-test.eng-chr.eng.chr | 6.0 | 0.190 |
| Tatoeba-test.eng-chv.eng.chv | 6.5 | 0.369 |
| Tatoeba-test.eng-cor.eng.cor | 0.9 | 0.086 |
| Tatoeba-test.eng-cos.eng.cos | 4.2 | 0.174 |
| Tatoeba-test.eng-crh.eng.crh | 9.9 | 0.361 |
| Tatoeba-test.eng-csb.eng.csb | 3.4 | 0.230 |
| Tatoeba-test.eng-cym.eng.cym | 18.0 | 0.418 |
| Tatoeba-test.eng-dan.eng.dan | 42.5 | 0.624 |
| Tatoeba-test.eng-deu.eng.deu | 25.2 | 0.505 |
| Tatoeba-test.eng-dsb.eng.dsb | 0.9 | 0.121 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.3 | 0.084 |
| Tatoeba-test.eng-dws.eng.dws | 0.2 | 0.040 |
| Tatoeba-test.eng-egl.eng.egl | 0.4 | 0.085 |
| Tatoeba-test.eng-ell.eng.ell | 28.7 | 0.543 |
| Tatoeba-test.eng-enm.eng.enm | 3.3 | 0.295 |
| Tatoeba-test.eng-epo.eng.epo | 33.4 | 0.570 |
| Tatoeba-test.eng-est.eng.est | 30.3 | 0.545 |
| Tatoeba-test.eng-eus.eng.eus | 18.5 | 0.486 |
| Tatoeba-test.eng-ewe.eng.ewe | 6.8 | 0.272 |
| Tatoeba-test.eng-ext.eng.ext | 5.0 | 0.228 |
| Tatoeba-test.eng-fao.eng.fao | 5.2 | 0.277 |
| Tatoeba-test.eng-fas.eng.fas | 6.9 | 0.265 |
| Tatoeba-test.eng-fij.eng.fij | 31.5 | 0.365 |
| Tatoeba-test.eng-fin.eng.fin | 18.5 | 0.459 |
| Tatoeba-test.eng-fkv.eng.fkv | 0.9 | 0.132 |
| Tatoeba-test.eng-fra.eng.fra | 31.5 | 0.546 |
| Tatoeba-test.eng-frm.eng.frm | 0.9 | 0.128 |
| Tatoeba-test.eng-frr.eng.frr | 3.0 | 0.025 |
| Tatoeba-test.eng-fry.eng.fry | 14.4 | 0.387 |
| Tatoeba-test.eng-ful.eng.ful | 0.4 | 0.061 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.3 | 0.075 |
| Tatoeba-test.eng-gil.eng.gil | 47.4 | 0.706 |
| Tatoeba-test.eng-gla.eng.gla | 10.9 | 0.341 |
| Tatoeba-test.eng-gle.eng.gle | 26.8 | 0.493 |
| Tatoeba-test.eng-glg.eng.glg | 32.5 | 0.565 |
| Tatoeba-test.eng-glv.eng.glv | 21.5 | 0.395 |
| Tatoeba-test.eng-gos.eng.gos | 0.3 | 0.124 |
| Tatoeba-test.eng-got.eng.got | 0.2 | 0.010 |
| Tatoeba-test.eng-grc.eng.grc | 0.0 | 0.005 |
| Tatoeba-test.eng-grn.eng.grn | 1.5 | 0.129 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.6 | 0.106 |
| Tatoeba-test.eng-guj.eng.guj | 15.4 | 0.347 |
| Tatoeba-test.eng-hat.eng.hat | 31.1 | 0.527 |
| Tatoeba-test.eng-hau.eng.hau | 6.5 | 0.385 |
| Tatoeba-test.eng-haw.eng.haw | 0.2 | 0.066 |
| Tatoeba-test.eng-hbs.eng.hbs | 28.7 | 0.531 |
| Tatoeba-test.eng-heb.eng.heb | 21.3 | 0.443 |
| Tatoeba-test.eng-hif.eng.hif | 2.8 | 0.268 |
| Tatoeba-test.eng-hil.eng.hil | 12.0 | 0.463 |
| Tatoeba-test.eng-hin.eng.hin | 13.0 | 0.401 |
| Tatoeba-test.eng-hmn.eng.hmn | 0.2 | 0.073 |
| Tatoeba-test.eng-hoc.eng.hoc | 0.2 | 0.077 |
| Tatoeba-test.eng-hsb.eng.hsb | 5.7 | 0.308 |
| Tatoeba-test.eng-hun.eng.hun | 17.1 | 0.431 |
| Tatoeba-test.eng-hye.eng.hye | 15.0 | 0.378 |
| Tatoeba-test.eng-iba.eng.iba | 16.0 | 0.437 |
| Tatoeba-test.eng-ibo.eng.ibo | 2.9 | 0.221 |
| Tatoeba-test.eng-ido.eng.ido | 11.5 | 0.403 |
| Tatoeba-test.eng-iku.eng.iku | 2.3 | 0.089 |
| Tatoeba-test.eng-ile.eng.ile | 4.3 | 0.282 |
| Tatoeba-test.eng-ilo.eng.ilo | 26.4 | 0.522 |
| Tatoeba-test.eng-ina.eng.ina | 20.9 | 0.493 |
| Tatoeba-test.eng-isl.eng.isl | 12.5 | 0.375 |
| Tatoeba-test.eng-ita.eng.ita | 33.9 | 0.592 |
| Tatoeba-test.eng-izh.eng.izh | 4.6 | 0.050 |
| Tatoeba-test.eng-jav.eng.jav | 7.8 | 0.328 |
| Tatoeba-test.eng-jbo.eng.jbo | 0.1 | 0.123 |
| Tatoeba-test.eng-jdt.eng.jdt | 6.4 | 0.008 |
| Tatoeba-test.eng-jpn.eng.jpn | 0.0 | 0.000 |
| Tatoeba-test.eng-kab.eng.kab | 5.9 | 0.261 |
| Tatoeba-test.eng-kal.eng.kal | 13.4 | 0.382 |
| Tatoeba-test.eng-kan.eng.kan | 4.8 | 0.358 |
| Tatoeba-test.eng-kat.eng.kat | 1.8 | 0.115 |
| Tatoeba-test.eng-kaz.eng.kaz | 8.8 | 0.354 |
| Tatoeba-test.eng-kek.eng.kek | 3.7 | 0.188 |
| Tatoeba-test.eng-kha.eng.kha | 0.5 | 0.094 |
| Tatoeba-test.eng-khm.eng.khm | 0.4 | 0.243 |
| Tatoeba-test.eng-kin.eng.kin | 5.2 | 0.362 |
| Tatoeba-test.eng-kir.eng.kir | 17.2 | 0.416 |
| Tatoeba-test.eng-kjh.eng.kjh | 0.6 | 0.009 |
| Tatoeba-test.eng-kok.eng.kok | 5.5 | 0.005 |
| Tatoeba-test.eng-kom.eng.kom | 2.4 | 0.012 |
| Tatoeba-test.eng-krl.eng.krl | 2.0 | 0.099 |
| Tatoeba-test.eng-ksh.eng.ksh | 0.4 | 0.074 |
| Tatoeba-test.eng-kum.eng.kum | 0.9 | 0.007 |
| Tatoeba-test.eng-kur.eng.kur | 9.1 | 0.174 |
| Tatoeba-test.eng-lad.eng.lad | 1.2 | 0.154 |
| Tatoeba-test.eng-lah.eng.lah | 0.1 | 0.001 |
| Tatoeba-test.eng-lao.eng.lao | 0.6 | 0.426 |
| Tatoeba-test.eng-lat.eng.lat | 8.2 | 0.366 |
| Tatoeba-test.eng-lav.eng.lav | 20.4 | 0.475 |
| Tatoeba-test.eng-ldn.eng.ldn | 0.3 | 0.059 |
| Tatoeba-test.eng-lfn.eng.lfn | 0.5 | 0.104 |
| Tatoeba-test.eng-lij.eng.lij | 0.2 | 0.094 |
| Tatoeba-test.eng-lin.eng.lin | 1.2 | 0.276 |
| Tatoeba-test.eng-lit.eng.lit | 17.4 | 0.488 |
| Tatoeba-test.eng-liv.eng.liv | 0.3 | 0.039 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.3 | 0.041 |
| Tatoeba-test.eng-lld.eng.lld | 0.1 | 0.083 |
| Tatoeba-test.eng-lmo.eng.lmo | 1.4 | 0.154 |
| Tatoeba-test.eng-ltz.eng.ltz | 19.1 | 0.395 |
| Tatoeba-test.eng-lug.eng.lug | 4.2 | 0.382 |
| Tatoeba-test.eng-mad.eng.mad | 2.1 | 0.075 |
| Tatoeba-test.eng-mah.eng.mah | 9.5 | 0.331 |
| Tatoeba-test.eng-mai.eng.mai | 9.3 | 0.372 |
| Tatoeba-test.eng-mal.eng.mal | 8.3 | 0.437 |
| Tatoeba-test.eng-mar.eng.mar | 13.5 | 0.410 |
| Tatoeba-test.eng-mdf.eng.mdf | 2.3 | 0.008 |
| Tatoeba-test.eng-mfe.eng.mfe | 83.6 | 0.905 |
| Tatoeba-test.eng-mic.eng.mic | 7.6 | 0.214 |
| Tatoeba-test.eng-mkd.eng.mkd | 31.8 | 0.540 |
| Tatoeba-test.eng-mlg.eng.mlg | 31.3 | 0.464 |
| Tatoeba-test.eng-mlt.eng.mlt | 11.7 | 0.427 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.1 | 0.000 |
| Tatoeba-test.eng-moh.eng.moh | 0.6 | 0.067 |
| Tatoeba-test.eng-mon.eng.mon | 8.5 | 0.323 |
| Tatoeba-test.eng-mri.eng.mri | 8.5 | 0.320 |
| Tatoeba-test.eng-msa.eng.msa | 24.5 | 0.498 |
| Tatoeba-test.eng.multi | 22.4 | 0.451 |
| Tatoeba-test.eng-mwl.eng.mwl | 3.8 | 0.169 |
| Tatoeba-test.eng-mya.eng.mya | 0.2 | 0.123 |
| Tatoeba-test.eng-myv.eng.myv | 1.1 | 0.014 |
| Tatoeba-test.eng-nau.eng.nau | 0.6 | 0.109 |
| Tatoeba-test.eng-nav.eng.nav | 1.8 | 0.149 |
| Tatoeba-test.eng-nds.eng.nds | 11.3 | 0.365 |
| Tatoeba-test.eng-nep.eng.nep | 0.5 | 0.004 |
| Tatoeba-test.eng-niu.eng.niu | 34.4 | 0.501 |
| Tatoeba-test.eng-nld.eng.nld | 37.6 | 0.598 |
| Tatoeba-test.eng-nog.eng.nog | 0.2 | 0.010 |
| Tatoeba-test.eng-non.eng.non | 0.2 | 0.096 |
| Tatoeba-test.eng-nor.eng.nor | 36.3 | 0.577 |
| Tatoeba-test.eng-nov.eng.nov | 0.9 | 0.180 |
| Tatoeba-test.eng-nya.eng.nya | 9.8 | 0.524 |
| Tatoeba-test.eng-oci.eng.oci | 6.3 | 0.288 |
| Tatoeba-test.eng-ori.eng.ori | 5.3 | 0.273 |
| Tatoeba-test.eng-orv.eng.orv | 0.2 | 0.007 |
| Tatoeba-test.eng-oss.eng.oss | 3.0 | 0.230 |
| Tatoeba-test.eng-ota.eng.ota | 0.2 | 0.053 |
| Tatoeba-test.eng-pag.eng.pag | 20.2 | 0.513 |
| Tatoeba-test.eng-pan.eng.pan | 6.4 | 0.301 |
| Tatoeba-test.eng-pap.eng.pap | 44.7 | 0.624 |
| Tatoeba-test.eng-pau.eng.pau | 0.8 | 0.098 |
| Tatoeba-test.eng-pdc.eng.pdc | 2.9 | 0.143 |
| Tatoeba-test.eng-pms.eng.pms | 0.6 | 0.124 |
| Tatoeba-test.eng-pol.eng.pol | 22.7 | 0.500 |
| Tatoeba-test.eng-por.eng.por | 31.6 | 0.570 |
| Tatoeba-test.eng-ppl.eng.ppl | 0.5 | 0.085 |
| Tatoeba-test.eng-prg.eng.prg | 0.1 | 0.078 |
| Tatoeba-test.eng-pus.eng.pus | 0.9 | 0.137 |
| Tatoeba-test.eng-quc.eng.quc | 2.7 | 0.255 |
| Tatoeba-test.eng-qya.eng.qya | 0.4 | 0.084 |
| Tatoeba-test.eng-rap.eng.rap | 1.9 | 0.050 |
| Tatoeba-test.eng-rif.eng.rif | 1.3 | 0.102 |
| Tatoeba-test.eng-roh.eng.roh | 1.4 | 0.169 |
| Tatoeba-test.eng-rom.eng.rom | 7.8 | 0.329 |
| Tatoeba-test.eng-ron.eng.ron | 27.0 | 0.530 |
| Tatoeba-test.eng-rue.eng.rue | 0.1 | 0.009 |
| Tatoeba-test.eng-run.eng.run | 9.8 | 0.434 |
| Tatoeba-test.eng-rus.eng.rus | 22.2 | 0.465 |
| Tatoeba-test.eng-sag.eng.sag | 4.8 | 0.155 |
| Tatoeba-test.eng-sah.eng.sah | 0.2 | 0.007 |
| Tatoeba-test.eng-san.eng.san | 1.7 | 0.143 |
| Tatoeba-test.eng-scn.eng.scn | 1.5 | 0.083 |
| Tatoeba-test.eng-sco.eng.sco | 30.3 | 0.514 |
| Tatoeba-test.eng-sgs.eng.sgs | 1.6 | 0.104 |
| Tatoeba-test.eng-shs.eng.shs | 0.7 | 0.049 |
| Tatoeba-test.eng-shy.eng.shy | 0.6 | 0.064 |
| Tatoeba-test.eng-sin.eng.sin | 5.4 | 0.317 |
| Tatoeba-test.eng-sjn.eng.sjn | 0.3 | 0.074 |
| Tatoeba-test.eng-slv.eng.slv | 12.8 | 0.313 |
| Tatoeba-test.eng-sma.eng.sma | 0.8 | 0.063 |
| Tatoeba-test.eng-sme.eng.sme | 13.2 | 0.290 |
| Tatoeba-test.eng-smo.eng.smo | 12.1 | 0.416 |
| Tatoeba-test.eng-sna.eng.sna | 27.1 | 0.533 |
| Tatoeba-test.eng-snd.eng.snd | 6.0 | 0.359 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.274 |
| Tatoeba-test.eng-spa.eng.spa | 36.7 | 0.603 |
| Tatoeba-test.eng-sqi.eng.sqi | 32.3 | 0.573 |
| Tatoeba-test.eng-stq.eng.stq | 0.6 | 0.198 |
| Tatoeba-test.eng-sun.eng.sun | 39.0 | 0.447 |
| Tatoeba-test.eng-swa.eng.swa | 1.1 | 0.109 |
| Tatoeba-test.eng-swe.eng.swe | 42.7 | 0.614 |
| Tatoeba-test.eng-swg.eng.swg | 0.6 | 0.118 |
| Tatoeba-test.eng-tah.eng.tah | 12.4 | 0.294 |
| Tatoeba-test.eng-tam.eng.tam | 5.0 | 0.404 |
| Tatoeba-test.eng-tat.eng.tat | 9.9 | 0.326 |
| Tatoeba-test.eng-tel.eng.tel | 4.7 | 0.326 |
| Tatoeba-test.eng-tet.eng.tet | 0.7 | 0.100 |
| Tatoeba-test.eng-tgk.eng.tgk | 5.5 | 0.304 |
| Tatoeba-test.eng-tha.eng.tha | 2.2 | 0.456 |
| Tatoeba-test.eng-tir.eng.tir | 1.5 | 0.197 |
| Tatoeba-test.eng-tlh.eng.tlh | 0.0 | 0.032 |
| Tatoeba-test.eng-tly.eng.tly | 0.3 | 0.061 |
| Tatoeba-test.eng-toi.eng.toi | 8.3 | 0.219 |
| Tatoeba-test.eng-ton.eng.ton | 32.7 | 0.619 |
| Tatoeba-test.eng-tpw.eng.tpw | 1.4 | 0.136 |
| Tatoeba-test.eng-tso.eng.tso | 9.6 | 0.465 |
| Tatoeba-test.eng-tuk.eng.tuk | 9.4 | 0.383 |
| Tatoeba-test.eng-tur.eng.tur | 24.1 | 0.542 |
| Tatoeba-test.eng-tvl.eng.tvl | 8.9 | 0.398 |
| Tatoeba-test.eng-tyv.eng.tyv | 10.4 | 0.249 |
| Tatoeba-test.eng-tzl.eng.tzl | 0.2 | 0.098 |
| Tatoeba-test.eng-udm.eng.udm | 6.5 | 0.212 |
| Tatoeba-test.eng-uig.eng.uig | 2.1 | 0.266 |
| Tatoeba-test.eng-ukr.eng.ukr | 24.3 | 0.479 |
| Tatoeba-test.eng-umb.eng.umb | 4.4 | 0.274 |
| Tatoeba-test.eng-urd.eng.urd | 8.6 | 0.344 |
| Tatoeba-test.eng-uzb.eng.uzb | 6.9 | 0.343 |
| Tatoeba-test.eng-vec.eng.vec | 1.0 | 0.094 |
| Tatoeba-test.eng-vie.eng.vie | 23.2 | 0.420 |
| Tatoeba-test.eng-vol.eng.vol | 0.3 | 0.086 |
| Tatoeba-test.eng-war.eng.war | 11.4 | 0.415 |
| Tatoeba-test.eng-wln.eng.wln | 8.4 | 0.218 |
| Tatoeba-test.eng-wol.eng.wol | 11.5 | 0.252 |
| Tatoeba-test.eng-xal.eng.xal | 0.1 | 0.007 |
| Tatoeba-test.eng-xho.eng.xho | 19.5 | 0.552 |
| Tatoeba-test.eng-yid.eng.yid | 4.0 | 0.256 |
| Tatoeba-test.eng-yor.eng.yor | 8.8 | 0.247 |
| Tatoeba-test.eng-zho.eng.zho | 21.8 | 0.192 |
| Tatoeba-test.eng-zul.eng.zul | 34.3 | 0.655 |
| Tatoeba-test.eng-zza.eng.zza | 0.5 | 0.080 |
### System Info:
- hf_name: eng-mul
- source_languages: eng
- target_languages: mul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ca', 'es', 'os', 'eo', 'ro', 'fy', 'cy', 'is', 'lb', 'su', 'an', 'sq', 'fr', 'ht', 'rm', 'cv', 'ig', 'am', 'eu', 'tr', 'ps', 'af', 'ny', 'ch', 'uk', 'sl', 'lt', 'tk', 'sg', 'ar', 'lg', 'bg', 'be', 'ka', 'gd', 'ja', 'si', 'br', 'mh', 'km', 'th', 'ty', 'rw', 'te', 'mk', 'or', 'wo', 'kl', 'mr', 'ru', 'yo', 'hu', 'fo', 'zh', 'ti', 'co', 'ee', 'oc', 'sn', 'mt', 'ts', 'pl', 'gl', 'nb', 'bn', 'tt', 'bo', 'lo', 'id', 'gn', 'nv', 'hy', 'kn', 'to', 'io', 'so', 'vi', 'da', 'fj', 'gv', 'sm', 'nl', 'mi', 'pt', 'hi', 'se', 'as', 'ta', 'et', 'kw', 'ga', 'sv', 'ln', 'na', 'mn', 'gu', 'wa', 'lv', 'jv', 'el', 'my', 'ba', 'it', 'hr', 'ur', 'ce', 'nn', 'fi', 'mg', 'rn', 'xh', 'ab', 'de', 'cs', 'he', 'zu', 'yi', 'ml', 'mul']
- src_constituents: {'eng'}
- tgt_constituents: {'sjn_Latn', 'cat', 'nan', 'spa', 'ile_Latn', 'pap', 'mwl', 'uzb_Latn', 'mww', 'hil', 'lij', 'avk_Latn', 'lad_Latn', 'lat_Latn', 'bos_Latn', 'oss', 'epo', 'ron', 'fry', 'cym', 'toi_Latn', 'awa', 'swg', 'zsm_Latn', 'zho_Hant', 'gcf_Latn', 'uzb_Cyrl', 'isl', 'lfn_Latn', 'shs_Latn', 'nov_Latn', 'bho', 'ltz', 'lzh', 'kur_Latn', 'sun', 'arg', 'pes_Thaa', 'sqi', 'uig_Arab', 'csb_Latn', 'fra', 'hat', 'liv_Latn', 'non_Latn', 'sco', 'cmn_Hans', 'pnb', 'roh', 'chv', 'ibo', 'bul_Latn', 'amh', 'lfn_Cyrl', 'eus', 'fkv_Latn', 'tur', 'pus', 'afr', 'brx_Latn', 'nya', 'acm', 'ota_Latn', 'cha', 'ukr', 'xal', 'slv', 'lit', 'zho_Hans', 'tmw_Latn', 'kjh', 'ota_Arab', 'war', 'tuk', 'sag', 'myv', 'hsb', 'lzh_Hans', 'ara', 'tly_Latn', 'lug', 'brx', 'bul', 'bel', 'vol_Latn', 'kat', 'gan', 'got_Goth', 'vro', 'ext', 'afh_Latn', 'gla', 'jpn', 'udm', 'mai', 'ary', 'sin', 'tvl', 'hif_Latn', 'cjy_Hant', 'bre', 'ceb', 'mah', 'nob_Hebr', 'crh_Latn', 'prg_Latn', 'khm', 'ang_Latn', 'tha', 'tah', 'tzl', 'aln', 'kin', 'tel', 'ady', 'mkd', 'ori', 'wol', 'aze_Latn', 'jbo', 'niu', 'kal', 'mar', 'vie_Hani', 'arz', 'yue', 'kha', 'san_Deva', 'jbo_Latn', 'gos', 'hau_Latn', 'rus', 'quc', 'cmn', 'yor', 'hun', 'uig_Cyrl', 'fao', 'mnw', 'zho', 'orv_Cyrl', 'iba', 'bel_Latn', 'tir', 'afb', 'crh', 'mic', 'cos', 'swh', 'sah', 'krl', 'ewe', 'apc', 'zza', 'chr', 'grc_Grek', 'tpw_Latn', 'oci', 'mfe', 'sna', 'kir_Cyrl', 'tat_Latn', 'gom', 'ido_Latn', 'sgs', 'pau', 'tgk_Cyrl', 'nog', 'mlt', 'pdc', 'tso', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'fuc', 'nob', 'qya', 'ben', 'tat', 'kab', 'min', 'srp_Latn', 'wuu', 'dtp', 'jbo_Cyrl', 'tet', 'bod', 'yue_Hans', 'zlm_Latn', 'lao', 'ind', 'grn', 'nav', 'kaz_Cyrl', 'rom', 'hye', 'kan', 'ton', 'ido', 'mhr', 'scn', 'som', 'rif_Latn', 'vie', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'fij', 'ina_Latn', 'cjy_Hans', 'jdt_Cyrl', 'gsw', 'glv', 'khm_Latn', 'smo', 'umb', 'sma', 'gil', 'nld', 'snd_Arab', 'arq', 'mri', 'kur_Arab', 'por', 'hin', 'shy_Latn', 'sme', 'rap', 'tyv', 'dsb', 'moh', 'asm', 'lad', 'yue_Hant', 'kpv', 'tam', 'est', 'frm_Latn', 'hoc_Latn', 'bam_Latn', 'kek_Latn', 'ksh', 'tlh_Latn', 'ltg', 'pan_Guru', 'hnj_Latn', 'cor', 'gle', 'swe', 'lin', 'qya_Latn', 'kum', 'mad', 'cmn_Hant', 'fuv', 'nau', 'mon', 'akl_Latn', 'guj', 'kaz_Latn', 'wln', 'tuk_Latn', 'jav_Java', 'lav', 'jav', 'ell', 'frr', 'mya', 'bak', 'rue', 'ita', 'hrv', 'izh', 'ilo', 'dws_Latn', 'urd', 'stq', 'tat_Arab', 'haw', 'che', 'pag', 'nno', 'fin', 'mlg', 'ppl_Latn', 'run', 'xho', 'abk', 'deu', 'hoc', 'lkt', 'lld_Latn', 'tzl_Latn', 'mdf', 'ike_Latn', 'ces', 'ldn_Latn', 'egl', 'heb', 'vec', 'zul', 'max_Latn', 'pes_Latn', 'yid', 'mal', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mul/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: mul
- short_pair: en-mul
- chrF2_score: 0.451
- bleu: 22.4
- brevity_penalty: 0.987
- ref_len: 68724.0
- src_name: English
- tgt_name: Multiple languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: mul
- prefer_old: False
- long_pair: eng-mul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ca", "es", "os", "eo", "ro", "fy", "cy", "is", "lb", "su", "an", "sq", "fr", "ht", "rm", "cv", "ig", "am", "eu", "tr", "ps", "af", "ny", "ch", "uk", "sl", "lt", "tk", "sg", "ar", "lg", "bg", "be", "ka", "gd", "ja", "si", "br", "mh", "km", "th", "ty", "rw", "te", "mk", "or", "wo", "kl", "mr", "ru", "yo", "hu", "fo", "zh", "ti", "co", "ee", "oc", "sn", "mt", "ts", "pl", "gl", "nb", "bn", "tt", "bo", "lo", "id", "gn", "nv", "hy", "kn", "to", "io", "so", "vi", "da", "fj", "gv", "sm", "nl", "mi", "pt", "hi", "se", "as", "ta", "et", "kw", "ga", "sv", "ln", "na", "mn", "gu", "wa", "lv", "jv", "el", "my", "ba", "it", "hr", "ur", "ce", "nn", "fi", "mg", "rn", "xh", "ab", "de", "cs", "he", "zu", "yi", "ml", "mul"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-mul | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ca",
"es",
"os",
"eo",
"ro",
"fy",
"cy",
"is",
"lb",
"su",
"an",
"sq",
"fr",
"ht",
"rm",
"cv",
"ig",
"am",
"eu",
"tr",
"ps",
"af",
"ny",
"ch",
"uk",
"sl",
"lt",
"tk",
"sg",
"ar",
"lg",
"bg",
"be",
"ka",
"gd",
"ja",
"si",
"br",
"mh",
"km",
"th",
"ty",
"rw",
"te",
"mk",
"or",
"wo",
"kl",
"mr",
"ru",
"yo",
"hu",
"fo",
"zh",
"ti",
"co",
"ee",
"oc",
"sn",
"mt",
"ts",
"pl",
"gl",
"nb",
"bn",
"tt",
"bo",
"lo",
"id",
"gn",
"nv",
"hy",
"kn",
"to",
"io",
"so",
"vi",
"da",
"fj",
"gv",
"sm",
"nl",
"mi",
"pt",
"hi",
"se",
"as",
"ta",
"et",
"kw",
"ga",
"sv",
"ln",
"na",
"mn",
"gu",
"wa",
"lv",
"jv",
"el",
"my",
"ba",
"it",
"hr",
"ur",
"ce",
"nn",
"fi",
"mg",
"rn",
"xh",
"ab",
"de",
"cs",
"he",
"zu",
"yi",
"ml",
"mul",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ng
* source languages: en
* target languages: ng
* OPUS readme: [en-ng](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ng/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ng/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ng/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ng/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ng | 24.8 | 0.496 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ng | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ng",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-nic
* source group: English
* target group: Niger-Kordofanian languages
* OPUS readme: [eng-nic](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-nic/README.md)
* model: transformer
* source language(s): eng
* target language(s): bam_Latn ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bam.eng.bam | 6.2 | 0.029 |
| Tatoeba-test.eng-ewe.eng.ewe | 4.5 | 0.258 |
| Tatoeba-test.eng-ful.eng.ful | 0.5 | 0.073 |
| Tatoeba-test.eng-ibo.eng.ibo | 3.9 | 0.267 |
| Tatoeba-test.eng-kin.eng.kin | 6.4 | 0.475 |
| Tatoeba-test.eng-lin.eng.lin | 1.2 | 0.308 |
| Tatoeba-test.eng-lug.eng.lug | 3.9 | 0.405 |
| Tatoeba-test.eng.multi | 11.1 | 0.427 |
| Tatoeba-test.eng-nya.eng.nya | 14.0 | 0.622 |
| Tatoeba-test.eng-run.eng.run | 13.6 | 0.477 |
| Tatoeba-test.eng-sag.eng.sag | 5.5 | 0.199 |
| Tatoeba-test.eng-sna.eng.sna | 19.6 | 0.557 |
| Tatoeba-test.eng-swa.eng.swa | 1.8 | 0.163 |
| Tatoeba-test.eng-toi.eng.toi | 8.3 | 0.231 |
| Tatoeba-test.eng-tso.eng.tso | 50.0 | 0.789 |
| Tatoeba-test.eng-umb.eng.umb | 7.8 | 0.342 |
| Tatoeba-test.eng-wol.eng.wol | 6.7 | 0.143 |
| Tatoeba-test.eng-xho.eng.xho | 26.4 | 0.620 |
| Tatoeba-test.eng-yor.eng.yor | 15.5 | 0.342 |
| Tatoeba-test.eng-zul.eng.zul | 35.9 | 0.750 |
### System Info:
- hf_name: eng-nic
- source_languages: eng
- target_languages: nic
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-nic/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'nic']
- src_constituents: {'eng'}
- tgt_constituents: {'bam_Latn', 'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-nic/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: nic
- short_pair: en-nic
- chrF2_score: 0.42700000000000005
- bleu: 11.1
- brevity_penalty: 1.0
- ref_len: 10625.0
- src_name: English
- tgt_name: Niger-Kordofanian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: nic
- prefer_old: False
- long_pair: eng-nic
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "nic"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-nic | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sn",
"rw",
"wo",
"ig",
"sg",
"ee",
"zu",
"lg",
"ts",
"ln",
"ny",
"yo",
"rn",
"xh",
"nic",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-niu
* source languages: en
* target languages: niu
* OPUS readme: [en-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-niu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-niu/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-niu/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-niu/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.niu | 53.0 | 0.698 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-niu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"niu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-nl
* source languages: en
* target languages: nl
* OPUS readme: [en-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-nl/opus-2019-12-04.zip)
* test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nl/opus-2019-12-04.test.txt)
* test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nl/opus-2019-12-04.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.nl | 57.1 | 0.730 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-nl | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"nl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-nso
* source languages: en
* target languages: nso
* OPUS readme: [en-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nso/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.nso | 52.2 | 0.684 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-nso | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"nso",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ny
* source languages: en
* target languages: ny
* OPUS readme: [en-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ny/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ny/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ny | 31.4 | 0.570 |
| Tatoeba.en.ny | 26.8 | 0.645 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ny | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ny",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-nyk
* source languages: en
* target languages: nyk
* OPUS readme: [en-nyk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nyk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.nyk | 26.6 | 0.511 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-nyk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"nyk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-om
* source languages: en
* target languages: om
* OPUS readme: [en-om](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-om/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-om/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-om/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-om/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.om | 21.8 | 0.498 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-om | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"om",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-pag
* source languages: en
* target languages: pag
* OPUS readme: [en-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pag/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pag | 37.9 | 0.598 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-pag | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"pag",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-pap
* source languages: en
* target languages: pap
* OPUS readme: [en-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pap/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pap | 40.1 | 0.586 |
| Tatoeba.en.pap | 52.8 | 0.665 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-pap | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"pap",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-phi
* source group: English
* target group: Philippine languages
* OPUS readme: [eng-phi](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb hil ilo pag war
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 7.1 | 0.245 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.5 | 0.435 |
| Tatoeba-test.eng-hil.eng.hil | 18.0 | 0.506 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.4 | 0.590 |
| Tatoeba-test.eng.multi | 13.1 | 0.392 |
| Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.481 |
| Tatoeba-test.eng-war.eng.war | 12.8 | 0.441 |
### System Info:
- hf_name: eng-phi
- source_languages: eng
- target_languages: phi
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-phi/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'phi']
- src_constituents: {'eng'}
- tgt_constituents: {'ilo', 'akl_Latn', 'war', 'hil', 'pag', 'ceb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-phi/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: phi
- short_pair: en-phi
- chrF2_score: 0.392
- bleu: 13.1
- brevity_penalty: 1.0
- ref_len: 30022.0
- src_name: English
- tgt_name: Philippine languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: phi
- prefer_old: False
- long_pair: eng-phi
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "phi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-phi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"phi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-pis
* source languages: en
* target languages: pis
* OPUS readme: [en-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pis/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pis/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pis | 38.3 | 0.571 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-pis | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"pis",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-pon
* source languages: en
* target languages: pon
* OPUS readme: [en-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-pon/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.pon | 32.4 | 0.542 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-pon | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"pon",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-poz
* source group: English
* target group: Malayo-Polynesian languages
* OPUS readme: [eng-poz](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 1.3 | 0.086 |
| Tatoeba-test.eng-ceb.eng.ceb | 10.2 | 0.426 |
| Tatoeba-test.eng-cha.eng.cha | 1.9 | 0.196 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.4 | 0.121 |
| Tatoeba-test.eng-fij.eng.fij | 31.0 | 0.463 |
| Tatoeba-test.eng-gil.eng.gil | 45.4 | 0.635 |
| Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.104 |
| Tatoeba-test.eng-hil.eng.hil | 14.4 | 0.498 |
| Tatoeba-test.eng-iba.eng.iba | 17.4 | 0.414 |
| Tatoeba-test.eng-ilo.eng.ilo | 33.1 | 0.585 |
| Tatoeba-test.eng-jav.eng.jav | 6.5 | 0.309 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.065 |
| Tatoeba-test.eng-mad.eng.mad | 1.7 | 0.156 |
| Tatoeba-test.eng-mah.eng.mah | 12.7 | 0.391 |
| Tatoeba-test.eng-mlg.eng.mlg | 30.3 | 0.504 |
| Tatoeba-test.eng-mri.eng.mri | 8.2 | 0.316 |
| Tatoeba-test.eng-msa.eng.msa | 30.4 | 0.561 |
| Tatoeba-test.eng.multi | 16.2 | 0.410 |
| Tatoeba-test.eng-nau.eng.nau | 0.6 | 0.087 |
| Tatoeba-test.eng-niu.eng.niu | 33.2 | 0.482 |
| Tatoeba-test.eng-pag.eng.pag | 19.4 | 0.555 |
| Tatoeba-test.eng-pau.eng.pau | 1.0 | 0.124 |
| Tatoeba-test.eng-rap.eng.rap | 1.4 | 0.090 |
| Tatoeba-test.eng-smo.eng.smo | 12.9 | 0.407 |
| Tatoeba-test.eng-sun.eng.sun | 15.5 | 0.364 |
| Tatoeba-test.eng-tah.eng.tah | 9.5 | 0.295 |
| Tatoeba-test.eng-tet.eng.tet | 1.2 | 0.146 |
| Tatoeba-test.eng-ton.eng.ton | 23.7 | 0.484 |
| Tatoeba-test.eng-tvl.eng.tvl | 32.5 | 0.549 |
| Tatoeba-test.eng-war.eng.war | 12.6 | 0.432 |
### System Info:
- hf_name: eng-poz
- source_languages: eng
- target_languages: poz
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-poz/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'poz']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-poz/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: poz
- short_pair: en-poz
- chrF2_score: 0.41
- bleu: 16.2
- brevity_penalty: 1.0
- ref_len: 66803.0
- src_name: English
- tgt_name: Malayo-Polynesian languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: poz
- prefer_old: False
- long_pair: eng-poz
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "poz"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-poz | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"poz",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-pqe
* source group: English
* target group: Eastern Malayo-Polynesian languages
* OPUS readme: [eng-pqe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md)
* model: transformer
* source language(s): eng
* target language(s): fij gil haw lkt mah mri nau niu rap smo tah ton tvl
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-fij.eng.fij | 22.1 | 0.396 |
| Tatoeba-test.eng-gil.eng.gil | 41.9 | 0.673 |
| Tatoeba-test.eng-haw.eng.haw | 0.6 | 0.114 |
| Tatoeba-test.eng-lkt.eng.lkt | 0.5 | 0.075 |
| Tatoeba-test.eng-mah.eng.mah | 9.7 | 0.386 |
| Tatoeba-test.eng-mri.eng.mri | 7.7 | 0.301 |
| Tatoeba-test.eng.multi | 11.3 | 0.306 |
| Tatoeba-test.eng-nau.eng.nau | 0.5 | 0.071 |
| Tatoeba-test.eng-niu.eng.niu | 42.5 | 0.560 |
| Tatoeba-test.eng-rap.eng.rap | 3.3 | 0.122 |
| Tatoeba-test.eng-smo.eng.smo | 27.0 | 0.462 |
| Tatoeba-test.eng-tah.eng.tah | 11.3 | 0.307 |
| Tatoeba-test.eng-ton.eng.ton | 27.0 | 0.528 |
| Tatoeba-test.eng-tvl.eng.tvl | 29.3 | 0.513 |
### System Info:
- hf_name: eng-pqe
- source_languages: eng
- target_languages: pqe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'fj', 'mi', 'ty', 'to', 'na', 'sm', 'mh', 'pqe']
- src_constituents: {'eng'}
- tgt_constituents: {'haw', 'gil', 'rap', 'fij', 'tvl', 'mri', 'tah', 'niu', 'ton', 'nau', 'smo', 'mah'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqe/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: pqe
- short_pair: en-pqe
- chrF2_score: 0.306
- bleu: 11.3
- brevity_penalty: 1.0
- ref_len: 5786.0
- src_name: English
- tgt_name: Eastern Malayo-Polynesian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: pqe
- prefer_old: False
- long_pair: eng-pqe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "fj", "mi", "ty", "to", "na", "sm", "mh", "pqe"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-pqe | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"fj",
"mi",
"ty",
"to",
"na",
"sm",
"mh",
"pqe",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-pqw
* source group: English
* target group: Western Malayo-Polynesian languages
* OPUS readme: [eng-pqw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp hil iba ilo ind jav jav_Java mad max_Latn min mlg pag pau sun tmw_Latn war zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl | 3.0 | 0.143 |
| Tatoeba-test.eng-ceb.eng.ceb | 11.4 | 0.432 |
| Tatoeba-test.eng-cha.eng.cha | 1.4 | 0.189 |
| Tatoeba-test.eng-dtp.eng.dtp | 0.6 | 0.139 |
| Tatoeba-test.eng-hil.eng.hil | 17.7 | 0.525 |
| Tatoeba-test.eng-iba.eng.iba | 14.6 | 0.365 |
| Tatoeba-test.eng-ilo.eng.ilo | 34.0 | 0.590 |
| Tatoeba-test.eng-jav.eng.jav | 6.2 | 0.299 |
| Tatoeba-test.eng-mad.eng.mad | 2.6 | 0.154 |
| Tatoeba-test.eng-mlg.eng.mlg | 34.3 | 0.518 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.561 |
| Tatoeba-test.eng.multi | 17.5 | 0.422 |
| Tatoeba-test.eng-pag.eng.pag | 19.8 | 0.507 |
| Tatoeba-test.eng-pau.eng.pau | 1.2 | 0.129 |
| Tatoeba-test.eng-sun.eng.sun | 30.3 | 0.418 |
| Tatoeba-test.eng-war.eng.war | 12.6 | 0.439 |
### System Info:
- hf_name: eng-pqw
- source_languages: eng
- target_languages: pqw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'pqw']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: pqw
- short_pair: en-pqw
- chrF2_score: 0.42200000000000004
- bleu: 17.5
- brevity_penalty: 1.0
- ref_len: 66758.0
- src_name: English
- tgt_name: Western Malayo-Polynesian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: pqw
- prefer_old: False
- long_pair: eng-pqw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "pqw"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-pqw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"pqw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-run
* source group: English
* target group: Rundi
* OPUS readme: [eng-run](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): run
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.run | 10.4 | 0.436 |
### System Info:
- hf_name: eng-run
- source_languages: eng
- target_languages: run
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-run/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'rn']
- src_constituents: {'eng'}
- tgt_constituents: {'run'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-run/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: run
- short_pair: en-rn
- chrF2_score: 0.436
- bleu: 10.4
- brevity_penalty: 1.0
- ref_len: 6710.0
- src_name: English
- tgt_name: Rundi
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: rn
- prefer_old: False
- long_pair: eng-run
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "rn"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-rn | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"rn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-rnd
* source languages: en
* target languages: rnd
* OPUS readme: [en-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rnd/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rnd/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.rnd | 34.5 | 0.571 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-rnd | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"rnd",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ro
* source languages: en
* target languages: ro
* OPUS readme: [en-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro.en.ro | 30.8 | 0.592 |
| newstest2016-enro.en.ro | 28.8 | 0.571 |
| Tatoeba.en.ro | 45.3 | 0.670 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ro | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ro",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-roa
* source group: English
* target group: Romance languages
* OPUS readme: [eng-roa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-roa/README.md)
* model: transformer
* source language(s): eng
* target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-engron.eng.ron | 27.6 | 0.567 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 30.2 | 0.575 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 35.5 | 0.612 |
| newssyscomb2009-engfra.eng.fra | 27.9 | 0.570 |
| newssyscomb2009-engita.eng.ita | 29.3 | 0.590 |
| newssyscomb2009-engspa.eng.spa | 29.6 | 0.570 |
| news-test2008-engfra.eng.fra | 25.2 | 0.538 |
| news-test2008-engspa.eng.spa | 27.3 | 0.548 |
| newstest2009-engfra.eng.fra | 26.9 | 0.560 |
| newstest2009-engita.eng.ita | 28.7 | 0.583 |
| newstest2009-engspa.eng.spa | 29.0 | 0.568 |
| newstest2010-engfra.eng.fra | 29.3 | 0.574 |
| newstest2010-engspa.eng.spa | 34.2 | 0.601 |
| newstest2011-engfra.eng.fra | 31.4 | 0.592 |
| newstest2011-engspa.eng.spa | 35.0 | 0.599 |
| newstest2012-engfra.eng.fra | 29.5 | 0.576 |
| newstest2012-engspa.eng.spa | 35.5 | 0.603 |
| newstest2013-engfra.eng.fra | 29.9 | 0.567 |
| newstest2013-engspa.eng.spa | 32.1 | 0.578 |
| newstest2016-enro-engron.eng.ron | 26.1 | 0.551 |
| Tatoeba-test.eng-arg.eng.arg | 1.4 | 0.125 |
| Tatoeba-test.eng-ast.eng.ast | 17.8 | 0.406 |
| Tatoeba-test.eng-cat.eng.cat | 48.3 | 0.676 |
| Tatoeba-test.eng-cos.eng.cos | 3.2 | 0.275 |
| Tatoeba-test.eng-egl.eng.egl | 0.2 | 0.084 |
| Tatoeba-test.eng-ext.eng.ext | 11.2 | 0.344 |
| Tatoeba-test.eng-fra.eng.fra | 45.3 | 0.637 |
| Tatoeba-test.eng-frm.eng.frm | 1.1 | 0.221 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.6 | 0.118 |
| Tatoeba-test.eng-glg.eng.glg | 44.2 | 0.645 |
| Tatoeba-test.eng-hat.eng.hat | 28.0 | 0.502 |
| Tatoeba-test.eng-ita.eng.ita | 45.6 | 0.674 |
| Tatoeba-test.eng-lad.eng.lad | 8.2 | 0.322 |
| Tatoeba-test.eng-lij.eng.lij | 1.4 | 0.182 |
| Tatoeba-test.eng-lld.eng.lld | 0.8 | 0.217 |
| Tatoeba-test.eng-lmo.eng.lmo | 0.7 | 0.190 |
| Tatoeba-test.eng-mfe.eng.mfe | 91.9 | 0.956 |
| Tatoeba-test.eng-msa.eng.msa | 31.1 | 0.548 |
| Tatoeba-test.eng.multi | 42.9 | 0.636 |
| Tatoeba-test.eng-mwl.eng.mwl | 2.1 | 0.234 |
| Tatoeba-test.eng-oci.eng.oci | 7.9 | 0.297 |
| Tatoeba-test.eng-pap.eng.pap | 44.1 | 0.648 |
| Tatoeba-test.eng-pms.eng.pms | 2.1 | 0.190 |
| Tatoeba-test.eng-por.eng.por | 41.8 | 0.639 |
| Tatoeba-test.eng-roh.eng.roh | 3.5 | 0.261 |
| Tatoeba-test.eng-ron.eng.ron | 41.0 | 0.635 |
| Tatoeba-test.eng-scn.eng.scn | 1.7 | 0.184 |
| Tatoeba-test.eng-spa.eng.spa | 50.1 | 0.689 |
| Tatoeba-test.eng-vec.eng.vec | 3.2 | 0.248 |
| Tatoeba-test.eng-wln.eng.wln | 7.2 | 0.220 |
### System Info:
- hf_name: eng-roa
- source_languages: eng
- target_languages: roa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-roa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'roa']
- src_constituents: {'eng'}
- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'lmo', 'mwl', 'lij', 'lad_Latn', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-roa/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: roa
- short_pair: en-roa
- chrF2_score: 0.636
- bleu: 42.9
- brevity_penalty: 0.978
- ref_len: 72751.0
- src_name: English
- tgt_name: Romance languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: roa
- prefer_old: False
- long_pair: eng-roa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "it", "ca", "rm", "es", "ro", "gl", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "roa"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-roa | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"roa",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ru
* source languages: en
* target languages: ru
* OPUS readme: [en-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-11.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.zip)
* test set translations: [opus-2020-02-11.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.test.txt)
* test set scores: [opus-2020-02-11.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ru/opus-2020-02-11.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012.en.ru | 31.1 | 0.581 |
| newstest2013.en.ru | 23.5 | 0.513 |
| newstest2015-enru.en.ru | 27.5 | 0.564 |
| newstest2016-enru.en.ru | 26.4 | 0.548 |
| newstest2017-enru.en.ru | 29.1 | 0.572 |
| newstest2018-enru.en.ru | 25.4 | 0.554 |
| newstest2019-enru.en.ru | 27.1 | 0.533 |
| Tatoeba.en.ru | 48.4 | 0.669 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ru | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-run
* source languages: en
* target languages: run
* OPUS readme: [en-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-run/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.run | 34.2 | 0.591 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-run | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"run",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-rw
* source languages: en
* target languages: rw
* OPUS readme: [en-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-rw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.rw | 33.3 | 0.569 |
| Tatoeba.en.rw | 13.8 | 0.503 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-rw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"rw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-sal
* source group: English
* target group: Salishan languages
* OPUS readme: [eng-sal](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sal/README.md)
* model: transformer
* source language(s): eng
* target language(s): shs_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-14.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.zip)
* test set translations: [opus-2020-07-14.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.test.txt)
* test set scores: [opus-2020-07-14.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.multi | 32.6 | 0.585 |
| Tatoeba-test.eng.shs | 1.1 | 0.072 |
| Tatoeba-test.eng-shs.eng.shs | 1.2 | 0.065 |
### System Info:
- hf_name: eng-sal
- source_languages: eng
- target_languages: sal
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sal/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sal']
- src_constituents: {'eng'}
- tgt_constituents: {'shs_Latn'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sal/opus-2020-07-14.test.txt
- src_alpha3: eng
- tgt_alpha3: sal
- short_pair: en-sal
- chrF2_score: 0.07200000000000001
- bleu: 1.1
- brevity_penalty: 1.0
- ref_len: 199.0
- src_name: English
- tgt_name: Salishan languages
- train_date: 2020-07-14
- src_alpha2: en
- tgt_alpha2: sal
- prefer_old: False
- long_pair: eng-sal
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "sal"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sal | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sal",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-sem
* source group: English
* target group: Semitic languages
* OPUS readme: [eng-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb amh apc ara arq ary arz heb mlt tir
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-amh.eng.amh | 11.2 | 0.480 |
| Tatoeba-test.eng-ara.eng.ara | 12.7 | 0.417 |
| Tatoeba-test.eng-heb.eng.heb | 33.8 | 0.564 |
| Tatoeba-test.eng-mlt.eng.mlt | 18.7 | 0.554 |
| Tatoeba-test.eng.multi | 23.5 | 0.486 |
| Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.248 |
### System Info:
- hf_name: eng-sem
- source_languages: eng
- target_languages: sem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'mt', 'ar', 'he', 'ti', 'am', 'sem']
- src_constituents: {'eng'}
- tgt_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sem/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sem
- short_pair: en-sem
- chrF2_score: 0.486
- bleu: 23.5
- brevity_penalty: 1.0
- ref_len: 59258.0
- src_name: English
- tgt_name: Semitic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sem
- prefer_old: False
- long_pair: eng-sem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "mt", "ar", "he", "ti", "am", "sem"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sem | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"mt",
"ar",
"he",
"ti",
"am",
"sem",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sg
* source languages: en
* target languages: sg
* OPUS readme: [en-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sg | 37.0 | 0.544 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-sit
* source group: English
* target group: Sino-Tibetan languages
* OPUS readme: [eng-sit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md)
* model: transformer
* source language(s): eng
* target language(s): bod brx brx_Latn cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans mya nan wuu yue yue_Hans yue_Hant zho zho_Hans zho_Hant
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enzh-engzho.eng.zho | 23.5 | 0.217 |
| newstest2017-enzh-engzho.eng.zho | 23.2 | 0.223 |
| newstest2018-enzh-engzho.eng.zho | 25.0 | 0.230 |
| newstest2019-enzh-engzho.eng.zho | 20.2 | 0.225 |
| Tatoeba-test.eng-bod.eng.bod | 0.4 | 0.147 |
| Tatoeba-test.eng-brx.eng.brx | 0.5 | 0.012 |
| Tatoeba-test.eng.multi | 25.7 | 0.223 |
| Tatoeba-test.eng-mya.eng.mya | 0.2 | 0.222 |
| Tatoeba-test.eng-zho.eng.zho | 29.2 | 0.249 |
### System Info:
- hf_name: eng-sit
- source_languages: eng
- target_languages: sit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sit']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sit/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sit
- short_pair: en-sit
- chrF2_score: 0.223
- bleu: 25.7
- brevity_penalty: 0.907
- ref_len: 109538.0
- src_name: English
- tgt_name: Sino-Tibetan languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sit
- prefer_old: False
- long_pair: eng-sit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "sit"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sit | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sk
* source languages: en
* target languages: sk
* OPUS readme: [en-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sk | 36.8 | 0.578 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-sla
* source group: English
* target group: Slavic languages
* OPUS readme: [eng-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md)
* model: transformer
* source language(s): eng
* target language(s): bel bel_Latn bos_Latn bul bul_Latn ces csb_Latn dsb hrv hsb mkd orv_Cyrl pol rue rus slv srp_Cyrl srp_Latn ukr
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces | 20.1 | 0.484 |
| news-test2008-engces.eng.ces | 17.7 | 0.461 |
| newstest2009-engces.eng.ces | 19.1 | 0.479 |
| newstest2010-engces.eng.ces | 19.3 | 0.483 |
| newstest2011-engces.eng.ces | 20.4 | 0.486 |
| newstest2012-engces.eng.ces | 18.3 | 0.461 |
| newstest2012-engrus.eng.rus | 27.4 | 0.551 |
| newstest2013-engces.eng.ces | 21.5 | 0.489 |
| newstest2013-engrus.eng.rus | 20.9 | 0.490 |
| newstest2015-encs-engces.eng.ces | 21.1 | 0.496 |
| newstest2015-enru-engrus.eng.rus | 24.5 | 0.536 |
| newstest2016-encs-engces.eng.ces | 23.6 | 0.515 |
| newstest2016-enru-engrus.eng.rus | 23.0 | 0.519 |
| newstest2017-encs-engces.eng.ces | 19.2 | 0.474 |
| newstest2017-enru-engrus.eng.rus | 25.0 | 0.541 |
| newstest2018-encs-engces.eng.ces | 19.3 | 0.479 |
| newstest2018-enru-engrus.eng.rus | 22.3 | 0.526 |
| newstest2019-encs-engces.eng.ces | 20.4 | 0.486 |
| newstest2019-enru-engrus.eng.rus | 24.0 | 0.506 |
| Tatoeba-test.eng-bel.eng.bel | 22.9 | 0.489 |
| Tatoeba-test.eng-bul.eng.bul | 46.7 | 0.652 |
| Tatoeba-test.eng-ces.eng.ces | 42.7 | 0.624 |
| Tatoeba-test.eng-csb.eng.csb | 1.4 | 0.210 |
| Tatoeba-test.eng-dsb.eng.dsb | 1.4 | 0.165 |
| Tatoeba-test.eng-hbs.eng.hbs | 40.3 | 0.616 |
| Tatoeba-test.eng-hsb.eng.hsb | 14.3 | 0.344 |
| Tatoeba-test.eng-mkd.eng.mkd | 44.1 | 0.635 |
| Tatoeba-test.eng.multi | 41.0 | 0.610 |
| Tatoeba-test.eng-orv.eng.orv | 0.3 | 0.014 |
| Tatoeba-test.eng-pol.eng.pol | 42.0 | 0.637 |
| Tatoeba-test.eng-rue.eng.rue | 0.3 | 0.012 |
| Tatoeba-test.eng-rus.eng.rus | 40.5 | 0.612 |
| Tatoeba-test.eng-slv.eng.slv | 18.8 | 0.357 |
| Tatoeba-test.eng-ukr.eng.ukr | 38.8 | 0.600 |
### System Info:
- hf_name: eng-sla
- source_languages: eng
- target_languages: sla
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-sla/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']
- src_constituents: {'eng'}
- tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-sla/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: sla
- short_pair: en-sla
- chrF2_score: 0.61
- bleu: 41.0
- brevity_penalty: 0.976
- ref_len: 64809.0
- src_name: English
- tgt_name: Slavic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: sla
- prefer_old: False
- long_pair: eng-sla
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "be", "hr", "mk", "cs", "ru", "pl", "bg", "uk", "sl", "sla"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sla | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"be",
"hr",
"mk",
"cs",
"ru",
"pl",
"bg",
"uk",
"sl",
"sla",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sm
* source languages: en
* target languages: sm
* OPUS readme: [en-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sm/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sm/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sm | 40.1 | 0.585 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sm | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sm",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sn
* source languages: en
* target languages: sn
* OPUS readme: [en-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.sn | 38.0 | 0.646 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sn | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sq
* source languages: en
* target languages: sq
* OPUS readme: [en-sq](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sq/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sq/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.sq | 46.5 | 0.669 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sq | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sq",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ss
* source languages: en
* target languages: ss
* OPUS readme: [en-ss](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ss/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ss/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ss | 25.7 | 0.541 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ss | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ss",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-st
* source languages: en
* target languages: st
* OPUS readme: [en-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-st/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-st/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.st | 49.8 | 0.665 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-st | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"st",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sv
* source languages: en
* target languages: sv
* OPUS readme: [en-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.sv | 60.1 | 0.736 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sv | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-sw
* source languages: en
* target languages: sw
* OPUS readme: [en-sw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.en.sw | 24.2 | 0.527 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-sw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-swc
* source languages: en
* target languages: swc
* OPUS readme: [en-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-swc/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.swc | 40.1 | 0.613 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-swc | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"swc",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tdt
* source languages: en
* target languages: tdt
* OPUS readme: [en-tdt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tdt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tdt/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tdt | 23.8 | 0.416 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tdt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tdt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ti
* source languages: en
* target languages: ti
* OPUS readme: [en-ti](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ti/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ti | 25.3 | 0.382 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ti | null | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"en",
"ti",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tiv
* source languages: en
* target languages: tiv
* OPUS readme: [en-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tiv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tiv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tiv | 31.6 | 0.497 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tiv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tiv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tl
* source languages: en
* target languages: tl
* OPUS readme: [en-tl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tl/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.zip)
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.test.txt)
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.tl | 26.6 | 0.577 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tll
* source languages: en
* target languages: tll
* OPUS readme: [en-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tll/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tll/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tll | 33.6 | 0.556 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tll | null | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"en",
"tll",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tn
* source languages: en
* target languages: tn
* OPUS readme: [en-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tn/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tn | 45.5 | 0.636 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tn | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-to
* source languages: en
* target languages: to
* OPUS readme: [en-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-to/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-to/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.to | 56.3 | 0.689 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-to | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"to",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-toi
* source languages: en
* target languages: toi
* OPUS readme: [en-toi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-toi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-toi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.toi | 32.8 | 0.598 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-toi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"toi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tpi
* source languages: en
* target languages: tpi
* OPUS readme: [en-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tpi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tpi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tpi | 38.7 | 0.568 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tpi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tpi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-trk
* source group: English
* target group: Turkic languages
* OPUS readme: [eng-trk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md)
* model: transformer
* source language(s): eng
* target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-engtur.eng.tur | 10.1 | 0.437 |
| newstest2016-entr-engtur.eng.tur | 9.2 | 0.410 |
| newstest2017-entr-engtur.eng.tur | 9.0 | 0.410 |
| newstest2018-entr-engtur.eng.tur | 9.2 | 0.413 |
| Tatoeba-test.eng-aze.eng.aze | 26.8 | 0.577 |
| Tatoeba-test.eng-bak.eng.bak | 7.6 | 0.308 |
| Tatoeba-test.eng-chv.eng.chv | 4.3 | 0.270 |
| Tatoeba-test.eng-crh.eng.crh | 8.1 | 0.330 |
| Tatoeba-test.eng-kaz.eng.kaz | 11.1 | 0.359 |
| Tatoeba-test.eng-kir.eng.kir | 28.6 | 0.524 |
| Tatoeba-test.eng-kjh.eng.kjh | 1.0 | 0.041 |
| Tatoeba-test.eng-kum.eng.kum | 2.2 | 0.075 |
| Tatoeba-test.eng.multi | 19.9 | 0.455 |
| Tatoeba-test.eng-ota.eng.ota | 0.5 | 0.065 |
| Tatoeba-test.eng-sah.eng.sah | 0.7 | 0.030 |
| Tatoeba-test.eng-tat.eng.tat | 9.7 | 0.316 |
| Tatoeba-test.eng-tuk.eng.tuk | 5.9 | 0.317 |
| Tatoeba-test.eng-tur.eng.tur | 34.6 | 0.623 |
| Tatoeba-test.eng-tyv.eng.tyv | 5.4 | 0.210 |
| Tatoeba-test.eng-uig.eng.uig | 0.1 | 0.155 |
| Tatoeba-test.eng-uzb.eng.uzb | 3.4 | 0.275 |
### System Info:
- hf_name: eng-trk
- source_languages: eng
- target_languages: trk
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-trk/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'tt', 'cv', 'tk', 'tr', 'ba', 'trk']
- src_constituents: {'eng'}
- tgt_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-trk/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: trk
- short_pair: en-trk
- chrF2_score: 0.455
- bleu: 19.9
- brevity_penalty: 1.0
- ref_len: 57072.0
- src_name: English
- tgt_name: Turkic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: trk
- prefer_old: False
- long_pair: eng-trk
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "tt", "cv", "tk", "tr", "ba", "trk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-trk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tt",
"cv",
"tk",
"tr",
"ba",
"trk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ts
* source languages: en
* target languages: ts
* OPUS readme: [en-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ts/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ts/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ts | 43.4 | 0.639 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ts | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ts",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-tut
* source group: English
* target group: Altaic languages
* OPUS readme: [eng-tut](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tut/README.md)
* model: transformer
* source language(s): eng
* target language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum mon nog ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_Latn xal
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-engtur.eng.tur | 10.4 | 0.438 |
| newstest2016-entr-engtur.eng.tur | 9.1 | 0.414 |
| newstest2017-entr-engtur.eng.tur | 9.5 | 0.414 |
| newstest2018-entr-engtur.eng.tur | 9.5 | 0.415 |
| Tatoeba-test.eng-aze.eng.aze | 27.2 | 0.580 |
| Tatoeba-test.eng-bak.eng.bak | 5.8 | 0.298 |
| Tatoeba-test.eng-chv.eng.chv | 4.6 | 0.301 |
| Tatoeba-test.eng-crh.eng.crh | 6.5 | 0.342 |
| Tatoeba-test.eng-kaz.eng.kaz | 11.8 | 0.360 |
| Tatoeba-test.eng-kir.eng.kir | 24.6 | 0.499 |
| Tatoeba-test.eng-kjh.eng.kjh | 2.2 | 0.052 |
| Tatoeba-test.eng-kum.eng.kum | 8.0 | 0.229 |
| Tatoeba-test.eng-mon.eng.mon | 10.3 | 0.362 |
| Tatoeba-test.eng.multi | 19.5 | 0.451 |
| Tatoeba-test.eng-nog.eng.nog | 1.5 | 0.117 |
| Tatoeba-test.eng-ota.eng.ota | 0.2 | 0.035 |
| Tatoeba-test.eng-sah.eng.sah | 0.7 | 0.080 |
| Tatoeba-test.eng-tat.eng.tat | 10.8 | 0.320 |
| Tatoeba-test.eng-tuk.eng.tuk | 5.6 | 0.323 |
| Tatoeba-test.eng-tur.eng.tur | 34.2 | 0.623 |
| Tatoeba-test.eng-tyv.eng.tyv | 8.1 | 0.192 |
| Tatoeba-test.eng-uig.eng.uig | 0.1 | 0.158 |
| Tatoeba-test.eng-uzb.eng.uzb | 4.2 | 0.298 |
| Tatoeba-test.eng-xal.eng.xal | 0.1 | 0.061 |
### System Info:
- hf_name: eng-tut
- source_languages: eng
- target_languages: tut
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tut/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'tut']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-tut/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: tut
- short_pair: en-tut
- chrF2_score: 0.451
- bleu: 19.5
- brevity_penalty: 1.0
- ref_len: 57472.0
- src_name: English
- tgt_name: Altaic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: tut
- prefer_old: False
- long_pair: eng-tut
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "tut"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tut | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tut",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tvl
* source languages: en
* target languages: tvl
* OPUS readme: [en-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tvl/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tvl | 46.9 | 0.625 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tvl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tvl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-tw
* source languages: en
* target languages: tw
* OPUS readme: [en-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.tw | 38.2 | 0.577 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-tw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"tw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ty
* source languages: en
* target languages: ty
* OPUS readme: [en-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ty/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ty | 46.8 | 0.619 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ty | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ty",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-uk
* source languages: en
* target languages: uk
* OPUS readme: [en-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-uk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-uk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.uk | 50.2 | 0.674 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-umb
* source languages: en
* target languages: umb
* OPUS readme: [en-umb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-umb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-umb/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.umb | 28.6 | 0.510 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-umb | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"umb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-urd
* source group: English
* target group: Urdu
* OPUS readme: [eng-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): urd
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.urd | 12.1 | 0.390 |
### System Info:
- hf_name: eng-urd
- source_languages: eng
- target_languages: urd
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urd/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ur']
- src_constituents: {'eng'}
- tgt_constituents: {'urd'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urd/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: urd
- short_pair: en-ur
- chrF2_score: 0.39
- bleu: 12.1
- brevity_penalty: 1.0
- ref_len: 12155.0
- src_name: English
- tgt_name: Urdu
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: ur
- prefer_old: False
- long_pair: eng-urd
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ur"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ur | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ur",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-urj
* source group: English
* target group: Uralic languages
* OPUS readme: [eng-urj](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md)
* model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin | 18.3 | 0.519 |
| newsdev2018-enet-engest.eng.est | 19.3 | 0.520 |
| newssyscomb2009-enghun.eng.hun | 15.4 | 0.471 |
| newstest2009-enghun.eng.hun | 15.7 | 0.468 |
| newstest2015-enfi-engfin.eng.fin | 20.2 | 0.534 |
| newstest2016-enfi-engfin.eng.fin | 20.7 | 0.541 |
| newstest2017-enfi-engfin.eng.fin | 23.6 | 0.566 |
| newstest2018-enet-engest.eng.est | 20.8 | 0.535 |
| newstest2018-enfi-engfin.eng.fin | 15.8 | 0.499 |
| newstest2019-enfi-engfin.eng.fin | 19.9 | 0.518 |
| newstestB2016-enfi-engfin.eng.fin | 16.6 | 0.509 |
| newstestB2017-enfi-engfin.eng.fin | 19.4 | 0.529 |
| Tatoeba-test.eng-chm.eng.chm | 1.3 | 0.127 |
| Tatoeba-test.eng-est.eng.est | 51.0 | 0.692 |
| Tatoeba-test.eng-fin.eng.fin | 34.6 | 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv | 2.2 | 0.302 |
| Tatoeba-test.eng-hun.eng.hun | 35.6 | 0.591 |
| Tatoeba-test.eng-izh.eng.izh | 5.7 | 0.211 |
| Tatoeba-test.eng-kom.eng.kom | 3.0 | 0.012 |
| Tatoeba-test.eng-krl.eng.krl | 8.5 | 0.230 |
| Tatoeba-test.eng-liv.eng.liv | 2.7 | 0.077 |
| Tatoeba-test.eng-mdf.eng.mdf | 2.8 | 0.007 |
| Tatoeba-test.eng.multi | 35.1 | 0.588 |
| Tatoeba-test.eng-myv.eng.myv | 1.3 | 0.014 |
| Tatoeba-test.eng-sma.eng.sma | 1.8 | 0.095 |
| Tatoeba-test.eng-sme.eng.sme | 6.8 | 0.204 |
| Tatoeba-test.eng-udm.eng.udm | 1.1 | 0.121 |
### System Info:
- hf_name: eng-urj
- source_languages: eng
- target_languages: urj
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-urj/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'se', 'fi', 'hu', 'et', 'urj']
- src_constituents: {'eng'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-urj/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: urj
- short_pair: en-urj
- chrF2_score: 0.588
- bleu: 35.1
- brevity_penalty: 0.943
- ref_len: 59664.0
- src_name: English
- tgt_name: Uralic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: urj
- prefer_old: False
- long_pair: eng-urj
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "se", "fi", "hu", "et", "urj"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-urj | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"se",
"fi",
"hu",
"et",
"urj",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-vie
* source group: English
* target group: Vietnamese
* OPUS readme: [eng-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): vie vie_Hani
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.vie | 37.2 | 0.542 |
### System Info:
- hf_name: eng-vie
- source_languages: eng
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi']
- src_constituents: {'eng'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-vie/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: vie
- short_pair: en-vi
- chrF2_score: 0.542
- bleu: 37.2
- brevity_penalty: 0.973
- ref_len: 24427.0
- src_name: English
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: vi
- prefer_old: False
- long_pair: eng-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "vi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-vi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-xh
* source languages: en
* target languages: xh
* OPUS readme: [en-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-xh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-xh/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.xh | 37.9 | 0.652 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-xh | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"xh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-zho
* source group: English
* target group: Chinese
* OPUS readme: [eng-zho](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md)
* model: transformer
* source language(s): eng
* target language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip)
* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt)
* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.zho | 31.4 | 0.268 |
### System Info:
- hf_name: eng-zho
- source_languages: eng
- target_languages: zho
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zho/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'zh']
- src_constituents: {'eng'}
- tgt_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zho/opus-2020-07-17.test.txt
- src_alpha3: eng
- tgt_alpha3: zho
- short_pair: en-zh
- chrF2_score: 0.268
- bleu: 31.4
- brevity_penalty: 0.8959999999999999
- ref_len: 110468.0
- src_name: English
- tgt_name: Chinese
- train_date: 2020-07-17
- src_alpha2: en
- tgt_alpha2: zh
- prefer_old: False
- long_pair: eng-zho
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41
| {"language": ["en", "zh"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-zh | null | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-zle
* source group: English
* target group: East Slavic languages
* OPUS readme: [eng-zle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md)
* model: transformer
* source language(s): eng
* target language(s): bel bel_Latn orv_Cyrl rue rus ukr
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2012-engrus.eng.rus | 27.4 | 0.550 |
| newstest2013-engrus.eng.rus | 21.4 | 0.493 |
| newstest2015-enru-engrus.eng.rus | 24.2 | 0.534 |
| newstest2016-enru-engrus.eng.rus | 23.3 | 0.518 |
| newstest2017-enru-engrus.eng.rus | 25.3 | 0.541 |
| newstest2018-enru-engrus.eng.rus | 22.4 | 0.527 |
| newstest2019-enru-engrus.eng.rus | 24.1 | 0.505 |
| Tatoeba-test.eng-bel.eng.bel | 20.8 | 0.471 |
| Tatoeba-test.eng.multi | 37.2 | 0.580 |
| Tatoeba-test.eng-orv.eng.orv | 0.6 | 0.130 |
| Tatoeba-test.eng-rue.eng.rue | 1.4 | 0.168 |
| Tatoeba-test.eng-rus.eng.rus | 41.3 | 0.616 |
| Tatoeba-test.eng-ukr.eng.ukr | 38.7 | 0.596 |
### System Info:
- hf_name: eng-zle
- source_languages: eng
- target_languages: zle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'be', 'ru', 'uk', 'zle']
- src_constituents: {'eng'}
- tgt_constituents: {'bel', 'orv_Cyrl', 'bel_Latn', 'rus', 'ukr', 'rue'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zle/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zle
- short_pair: en-zle
- chrF2_score: 0.58
- bleu: 37.2
- brevity_penalty: 0.9890000000000001
- ref_len: 63493.0
- src_name: English
- tgt_name: East Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zle
- prefer_old: False
- long_pair: eng-zle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "be", "ru", "uk", "zle"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-zle | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"be",
"ru",
"uk",
"zle",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-zls
* source group: English
* target group: South Slavic languages
* OPUS readme: [eng-zls](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md)
* model: transformer
* source language(s): eng
* target language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bul.eng.bul | 47.6 | 0.657 |
| Tatoeba-test.eng-hbs.eng.hbs | 40.7 | 0.619 |
| Tatoeba-test.eng-mkd.eng.mkd | 45.2 | 0.642 |
| Tatoeba-test.eng.multi | 42.7 | 0.622 |
| Tatoeba-test.eng-slv.eng.slv | 17.9 | 0.351 |
### System Info:
- hf_name: eng-zls
- source_languages: eng
- target_languages: zls
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zls/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hr', 'mk', 'bg', 'sl', 'zls']
- src_constituents: {'eng'}
- tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zls/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zls
- short_pair: en-zls
- chrF2_score: 0.622
- bleu: 42.7
- brevity_penalty: 0.9690000000000001
- ref_len: 64788.0
- src_name: English
- tgt_name: South Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zls
- prefer_old: False
- long_pair: eng-zls
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "hr", "mk", "bg", "sl", "zls"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-zls | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"hr",
"mk",
"bg",
"sl",
"zls",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-zlw
* source group: English
* target group: West Slavic languages
* OPUS readme: [eng-zlw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md)
* model: transformer
* source language(s): eng
* target language(s): ces csb_Latn dsb hsb pol
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces | 20.6 | 0.488 |
| news-test2008-engces.eng.ces | 18.3 | 0.466 |
| newstest2009-engces.eng.ces | 19.8 | 0.483 |
| newstest2010-engces.eng.ces | 19.8 | 0.486 |
| newstest2011-engces.eng.ces | 20.6 | 0.489 |
| newstest2012-engces.eng.ces | 18.6 | 0.464 |
| newstest2013-engces.eng.ces | 22.3 | 0.495 |
| newstest2015-encs-engces.eng.ces | 21.7 | 0.502 |
| newstest2016-encs-engces.eng.ces | 24.5 | 0.521 |
| newstest2017-encs-engces.eng.ces | 20.1 | 0.480 |
| newstest2018-encs-engces.eng.ces | 19.9 | 0.483 |
| newstest2019-encs-engces.eng.ces | 21.2 | 0.490 |
| Tatoeba-test.eng-ces.eng.ces | 43.7 | 0.632 |
| Tatoeba-test.eng-csb.eng.csb | 1.2 | 0.188 |
| Tatoeba-test.eng-dsb.eng.dsb | 1.5 | 0.167 |
| Tatoeba-test.eng-hsb.eng.hsb | 5.7 | 0.199 |
| Tatoeba-test.eng.multi | 42.8 | 0.632 |
| Tatoeba-test.eng-pol.eng.pol | 43.2 | 0.641 |
### System Info:
- hf_name: eng-zlw
- source_languages: eng
- target_languages: zlw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'pl', 'cs', 'zlw']
- src_constituents: {'eng'}
- tgt_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zlw
- short_pair: en-zlw
- chrF2_score: 0.632
- bleu: 42.8
- brevity_penalty: 0.973
- ref_len: 65397.0
- src_name: English
- tgt_name: West Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zlw
- prefer_old: False
- long_pair: eng-zlw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "pl", "cs", "zlw"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-zlw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"pl",
"cs",
"zlw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en_el_es_fi-en_el_es_fi
* source languages: en,el,es,fi
* target languages: en,el,es,fi
* OPUS readme: [en+el+es+fi-en+el+es+fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en+el+es+fi-en+el+es+fi/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-03-02.zip](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.zip)
* test set translations: [opus-2020-03-02.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.test.txt)
* test set scores: [opus-2020-03-02.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi.en.fi | 16.0 | 0.498 |
| newssyscomb2009.en.es | 29.9 | 0.570 |
| newssyscomb2009.es.en | 29.7 | 0.569 |
| news-test2008.en.es | 27.3 | 0.549 |
| news-test2008.es.en | 27.3 | 0.548 |
| newstest2009.en.es | 28.4 | 0.564 |
| newstest2009.es.en | 28.4 | 0.564 |
| newstest2010.en.es | 34.0 | 0.599 |
| newstest2010.es.en | 34.0 | 0.599 |
| newstest2011.en.es | 35.1 | 0.600 |
| newstest2012.en.es | 35.4 | 0.602 |
| newstest2013.en.es | 31.9 | 0.576 |
| newstest2015-enfi.en.fi | 17.8 | 0.509 |
| newstest2016-enfi.en.fi | 19.0 | 0.521 |
| newstest2017-enfi.en.fi | 21.2 | 0.539 |
| newstest2018-enfi.en.fi | 13.9 | 0.478 |
| newstest2019-enfi.en.fi | 18.8 | 0.503 |
| newstestB2016-enfi.en.fi | 14.9 | 0.491 |
| newstestB2017-enfi.en.fi | 16.9 | 0.503 |
| simplification.en.en | 63.0 | 0.798 |
| Tatoeba.en.fi | 56.7 | 0.719 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en_el_es_fi-en_el_es_fi | null | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"en",
"el",
"es",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-afr
* source group: Esperanto
* target group: Afrikaans
* OPUS readme: [epo-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): afr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.afr | 19.5 | 0.369 |
### System Info:
- hf_name: epo-afr
- source_languages: epo
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'af']
- src_constituents: {'epo'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-afr/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: afr
- short_pair: eo-af
- chrF2_score: 0.369
- bleu: 19.5
- brevity_penalty: 0.9570000000000001
- ref_len: 8432.0
- src_name: Esperanto
- tgt_name: Afrikaans
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: af
- prefer_old: False
- long_pair: epo-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "af"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-af | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"af",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-bul
* source group: Esperanto
* target group: Bulgarian
* OPUS readme: [epo-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): bul
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.bul | 19.0 | 0.395 |
### System Info:
- hf_name: epo-bul
- source_languages: epo
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'bg']
- src_constituents: {'epo'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-bul/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: bul
- short_pair: eo-bg
- chrF2_score: 0.395
- bleu: 19.0
- brevity_penalty: 0.8909999999999999
- ref_len: 3961.0
- src_name: Esperanto
- tgt_name: Bulgarian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: bg
- prefer_old: False
- long_pair: epo-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "bg"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-bg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-ces
* source group: Esperanto
* target group: Czech
* OPUS readme: [epo-ces](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ces/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ces
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ces | 17.5 | 0.376 |
### System Info:
- hf_name: epo-ces
- source_languages: epo
- target_languages: ces
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ces/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'cs']
- src_constituents: {'epo'}
- tgt_constituents: {'ces'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ces/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ces
- short_pair: eo-cs
- chrF2_score: 0.376
- bleu: 17.5
- brevity_penalty: 0.922
- ref_len: 22148.0
- src_name: Esperanto
- tgt_name: Czech
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: cs
- prefer_old: False
- long_pair: epo-ces
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "cs"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-cs | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"cs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-dan
* source group: Esperanto
* target group: Danish
* OPUS readme: [epo-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.dan | 21.6 | 0.407 |
### System Info:
- hf_name: epo-dan
- source_languages: epo
- target_languages: dan
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-dan/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'da']
- src_constituents: {'epo'}
- tgt_constituents: {'dan'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-dan/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: dan
- short_pair: eo-da
- chrF2_score: 0.40700000000000003
- bleu: 21.6
- brevity_penalty: 0.9359999999999999
- ref_len: 72349.0
- src_name: Esperanto
- tgt_name: Danish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: da
- prefer_old: False
- long_pair: epo-dan
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "da"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-da | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"da",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-eo-de
* source languages: eo
* target languages: de
* OPUS readme: [eo-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.de | 45.5 | 0.644 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-ell
* source group: Esperanto
* target group: Modern Greek (1453-)
* OPUS readme: [epo-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ell
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ell | 23.2 | 0.438 |
### System Info:
- hf_name: epo-ell
- source_languages: epo
- target_languages: ell
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'el']
- src_constituents: {'epo'}
- tgt_constituents: {'ell'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ell
- short_pair: eo-el
- chrF2_score: 0.43799999999999994
- bleu: 23.2
- brevity_penalty: 0.9159999999999999
- ref_len: 3892.0
- src_name: Esperanto
- tgt_name: Modern Greek (1453-)
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: el
- prefer_old: False
- long_pair: epo-ell
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "el"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-el | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"el",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-eo-en
* source languages: eo
* target languages: en
* OPUS readme: [eo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.en | 54.8 | 0.694 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-eo-es
* source languages: eo
* target languages: es
* OPUS readme: [eo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.es | 44.2 | 0.631 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-fin
* source group: Esperanto
* target group: Finnish
* OPUS readme: [epo-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): fin
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.fin | 15.9 | 0.371 |
### System Info:
- hf_name: epo-fin
- source_languages: epo
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'fi']
- src_constituents: {'epo'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: fin
- short_pair: eo-fi
- chrF2_score: 0.371
- bleu: 15.9
- brevity_penalty: 0.894
- ref_len: 15881.0
- src_name: Esperanto
- tgt_name: Finnish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: fi
- prefer_old: False
- long_pair: epo-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "fi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-eo-fr
* source languages: eo
* target languages: fr
* OPUS readme: [eo-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.fr | 50.9 | 0.675 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-heb
* source group: Esperanto
* target group: Hebrew
* OPUS readme: [epo-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): heb
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.heb | 11.5 | 0.306 |
### System Info:
- hf_name: epo-heb
- source_languages: epo
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'he']
- src_constituents: {'epo'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-heb/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: heb
- short_pair: eo-he
- chrF2_score: 0.306
- bleu: 11.5
- brevity_penalty: 0.943
- ref_len: 65645.0
- src_name: Esperanto
- tgt_name: Hebrew
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: he
- prefer_old: False
- long_pair: epo-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "he"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-he | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-hun
* source group: Esperanto
* target group: Hungarian
* OPUS readme: [epo-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): hun
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hun | 12.8 | 0.333 |
### System Info:
- hf_name: epo-hun
- source_languages: epo
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'hu']
- src_constituents: {'epo'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hun/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hun
- short_pair: eo-hu
- chrF2_score: 0.33299999999999996
- bleu: 12.8
- brevity_penalty: 0.914
- ref_len: 65704.0
- src_name: Esperanto
- tgt_name: Hungarian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: hu
- prefer_old: False
- long_pair: epo-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "hu"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-hu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"hu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-ita
* source group: Esperanto
* target group: Italian
* OPUS readme: [epo-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ita | 23.8 | 0.465 |
### System Info:
- hf_name: epo-ita
- source_languages: epo
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'it']
- src_constituents: {'epo'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ita/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ita
- short_pair: eo-it
- chrF2_score: 0.465
- bleu: 23.8
- brevity_penalty: 0.9420000000000001
- ref_len: 67118.0
- src_name: Esperanto
- tgt_name: Italian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: it
- prefer_old: False
- long_pair: epo-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "it"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-it | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"it",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-nld
* source group: Esperanto
* target group: Dutch
* OPUS readme: [epo-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): nld
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.nld | 15.3 | 0.337 |
### System Info:
- hf_name: epo-nld
- source_languages: epo
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'nl']
- src_constituents: {'epo'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: nld
- short_pair: eo-nl
- chrF2_score: 0.337
- bleu: 15.3
- brevity_penalty: 0.8640000000000001
- ref_len: 78770.0
- src_name: Esperanto
- tgt_name: Dutch
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: nl
- prefer_old: False
- long_pair: epo-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "nl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-nl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"nl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-pol
* source group: Esperanto
* target group: Polish
* OPUS readme: [epo-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.pol | 17.2 | 0.392 |
### System Info:
- hf_name: epo-pol
- source_languages: epo
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pl']
- src_constituents: {'epo'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-pol/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: pol
- short_pair: eo-pl
- chrF2_score: 0.392
- bleu: 17.2
- brevity_penalty: 0.893
- ref_len: 15343.0
- src_name: Esperanto
- tgt_name: Polish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pl
- prefer_old: False
- long_pair: epo-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "pl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-pl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"pl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-por
* source group: Esperanto
* target group: Portuguese
* OPUS readme: [epo-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): por
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.por | 20.2 | 0.438 |
### System Info:
- hf_name: epo-por
- source_languages: epo
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'pt']
- src_constituents: {'epo'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-por/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: por
- short_pair: eo-pt
- chrF2_score: 0.43799999999999994
- bleu: 20.2
- brevity_penalty: 0.895
- ref_len: 89991.0
- src_name: Esperanto
- tgt_name: Portuguese
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: pt
- prefer_old: False
- long_pair: epo-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "pt"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-pt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"pt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-ron
* source group: Esperanto
* target group: Romanian
* OPUS readme: [epo-ron](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ron
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ron | 19.4 | 0.420 |
### System Info:
- hf_name: epo-ron
- source_languages: epo
- target_languages: ron
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ron/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'ro']
- src_constituents: {'epo'}
- tgt_constituents: {'ron'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ron/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ron
- short_pair: eo-ro
- chrF2_score: 0.42
- bleu: 19.4
- brevity_penalty: 0.9179999999999999
- ref_len: 25619.0
- src_name: Esperanto
- tgt_name: Romanian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: ro
- prefer_old: False
- long_pair: epo-ron
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "ro"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-ro | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"ro",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-rus
* source group: Esperanto
* target group: Russian
* OPUS readme: [epo-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.rus | 17.7 | 0.379 |
### System Info:
- hf_name: epo-rus
- source_languages: epo
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'ru']
- src_constituents: {'epo'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-rus/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: rus
- short_pair: eo-ru
- chrF2_score: 0.379
- bleu: 17.7
- brevity_penalty: 0.9179999999999999
- ref_len: 71288.0
- src_name: Esperanto
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: ru
- prefer_old: False
- long_pair: epo-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "ru"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-ru | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-hbs
* source group: Esperanto
* target group: Serbo-Croatian
* OPUS readme: [epo-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): bos_Latn hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.hbs | 13.6 | 0.351 |
### System Info:
- hf_name: epo-hbs
- source_languages: epo
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sh']
- src_constituents: {'epo'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-hbs/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: hbs
- short_pair: eo-sh
- chrF2_score: 0.35100000000000003
- bleu: 13.6
- brevity_penalty: 0.888
- ref_len: 17999.0
- src_name: Esperanto
- tgt_name: Serbo-Croatian
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sh
- prefer_old: False
- long_pair: epo-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "sh"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-sh | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"sh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### epo-swe
* source group: Esperanto
* target group: Swedish
* OPUS readme: [epo-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): swe
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.swe | 29.5 | 0.463 |
### System Info:
- hf_name: epo-swe
- source_languages: epo
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'sv']
- src_constituents: {'epo'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-swe/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: swe
- short_pair: eo-sv
- chrF2_score: 0.46299999999999997
- bleu: 29.5
- brevity_penalty: 0.9640000000000001
- ref_len: 10977.0
- src_name: Esperanto
- tgt_name: Swedish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: sv
- prefer_old: False
- long_pair: epo-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["eo", "sv"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-eo-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eo",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-03-02T23:29:04+00:00 |
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