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transformers
### opus-mt-ca-es * source languages: ca * target languages: es * OPUS readme: [ca-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ca-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ca-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ca-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ca-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.ca.es | 74.9 | 0.863 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ca-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cat-fra * source group: Catalan * target group: French * OPUS readme: [cat-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md) * model: transformer-align * source language(s): cat * target language(s): fra * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.fra | 52.4 | 0.694 | ### System Info: - hf_name: cat-fra - source_languages: cat - target_languages: fra - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'fr'] - src_constituents: {'cat'} - tgt_constituents: {'fra'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-fra/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: fra - short_pair: ca-fr - chrF2_score: 0.6940000000000001 - bleu: 52.4 - brevity_penalty: 0.987 - ref_len: 5517.0 - src_name: Catalan - tgt_name: French - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: fr - prefer_old: False - long_pair: cat-fra - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ca", "fr"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ca-fr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cat-ita * source group: Catalan * target group: Italian * OPUS readme: [cat-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md) * model: transformer-align * source language(s): cat * target language(s): ita * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.ita | 48.6 | 0.690 | ### System Info: - hf_name: cat-ita - source_languages: cat - target_languages: ita - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ita/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'it'] - src_constituents: {'cat'} - tgt_constituents: {'ita'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ita/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: ita - short_pair: ca-it - chrF2_score: 0.69 - bleu: 48.6 - brevity_penalty: 0.985 - ref_len: 1995.0 - src_name: Catalan - tgt_name: Italian - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: it - prefer_old: False - long_pair: cat-ita - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ca", "it"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ca-it
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cat-nld * source group: Catalan * target group: Dutch * OPUS readme: [cat-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md) * model: transformer-align * source language(s): cat * target language(s): nld * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.nld | 45.1 | 0.632 | ### System Info: - hf_name: cat-nld - source_languages: cat - target_languages: nld - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-nld/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'nl'] - src_constituents: {'cat'} - tgt_constituents: {'nld'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-nld/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: nld - short_pair: ca-nl - chrF2_score: 0.632 - bleu: 45.1 - brevity_penalty: 0.965 - ref_len: 4157.0 - src_name: Catalan - tgt_name: Dutch - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: nl - prefer_old: False - long_pair: cat-nld - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ca", "nl"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ca-nl
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cat-por * source group: Catalan * target group: Portuguese * OPUS readme: [cat-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-por/README.md) * model: transformer-align * source language(s): cat * target language(s): por * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.por | 44.9 | 0.658 | ### System Info: - hf_name: cat-por - source_languages: cat - target_languages: por - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-por/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'pt'] - src_constituents: {'cat'} - tgt_constituents: {'por'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-por/opus-2020-06-17.test.txt - src_alpha3: cat - tgt_alpha3: por - short_pair: ca-pt - chrF2_score: 0.6579999999999999 - bleu: 44.9 - brevity_penalty: 0.953 - ref_len: 5847.0 - src_name: Catalan - tgt_name: Portuguese - train_date: 2020-06-17 - src_alpha2: ca - tgt_alpha2: pt - prefer_old: False - long_pair: cat-por - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ca", "pt"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ca-pt
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "pt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cat-ukr * source group: Catalan * target group: Ukrainian * OPUS readme: [cat-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md) * model: transformer-align * source language(s): cat * target language(s): ukr * 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/cat-ukr/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.cat.ukr | 28.6 | 0.503 | ### System Info: - hf_name: cat-ukr - source_languages: cat - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ca', 'uk'] - src_constituents: {'cat'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt - src_alpha3: cat - tgt_alpha3: ukr - short_pair: ca-uk - chrF2_score: 0.503 - bleu: 28.6 - brevity_penalty: 0.9670000000000001 - ref_len: 2438.0 - src_name: Catalan - tgt_name: Ukrainian - train_date: 2020-06-16 - src_alpha2: ca - tgt_alpha2: uk - prefer_old: False - long_pair: cat-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ca", "uk"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ca-uk
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ca", "uk", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cau-eng * source group: Caucasian languages * target group: English * OPUS readme: [cau-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md) * model: transformer * source language(s): abk ady che kat * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.abk-eng.abk.eng | 0.3 | 0.134 | | Tatoeba-test.ady-eng.ady.eng | 0.4 | 0.104 | | Tatoeba-test.che-eng.che.eng | 0.6 | 0.128 | | Tatoeba-test.kat-eng.kat.eng | 18.6 | 0.366 | | Tatoeba-test.multi.eng | 16.6 | 0.351 | ### System Info: - hf_name: cau-eng - source_languages: cau - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cau-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ab', 'ka', 'ce', 'cau', 'en'] - src_constituents: {'abk', 'kat', 'che', 'ady'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cau-eng/opus2m-2020-07-31.test.txt - src_alpha3: cau - tgt_alpha3: eng - short_pair: cau-en - chrF2_score: 0.35100000000000003 - bleu: 16.6 - brevity_penalty: 1.0 - ref_len: 6285.0 - src_name: Caucasian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cau - tgt_alpha2: en - prefer_old: False - long_pair: cau-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ab", "ka", "ce", "cau", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cau-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ab", "ka", "ce", "cau", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### ccs-eng * source group: South Caucasian languages * target group: English * OPUS readme: [ccs-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md) * model: transformer * source language(s): kat * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.kat-eng.kat.eng | 18.0 | 0.357 | | Tatoeba-test.multi.eng | 18.0 | 0.357 | ### System Info: - hf_name: ccs-eng - source_languages: ccs - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ccs-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ka', 'ccs', 'en'] - src_constituents: {'kat'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ccs-eng/opus2m-2020-07-31.test.txt - src_alpha3: ccs - tgt_alpha3: eng - short_pair: ccs-en - chrF2_score: 0.35700000000000004 - bleu: 18.0 - brevity_penalty: 1.0 - ref_len: 5992.0 - src_name: South Caucasian languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: ccs - tgt_alpha2: en - prefer_old: False - long_pair: ccs-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ka", "ccs", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ccs-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ka", "ccs", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### ceb-eng * source group: Cebuano * target group: English * OPUS readme: [ceb-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md) * model: transformer-align * source language(s): ceb * target language(s): eng * 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/ceb-eng/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ceb.eng | 21.5 | 0.387 | ### System Info: - hf_name: ceb-eng - source_languages: ceb - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ceb-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ceb', 'en'] - src_constituents: {'ceb'} - tgt_constituents: {'eng'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ceb-eng/opus-2020-06-17.test.txt - src_alpha3: ceb - tgt_alpha3: eng - short_pair: ceb-en - chrF2_score: 0.387 - bleu: 21.5 - brevity_penalty: 1.0 - ref_len: 2293.0 - src_name: Cebuano - tgt_name: English - train_date: 2020-06-17 - src_alpha2: ceb - tgt_alpha2: en - prefer_old: False - long_pair: ceb-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ceb", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ceb-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "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-ceb-es * source languages: ceb * target languages: es * OPUS readme: [ceb-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.es | 31.6 | 0.508 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ceb-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-ceb-fi * source languages: ceb * target languages: fi * OPUS readme: [ceb-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-fi/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/ceb-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.fi | 27.4 | 0.525 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ceb-fi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "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-ceb-fr * source languages: ceb * target languages: fr * OPUS readme: [ceb-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-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/ceb-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.fr | 30.0 | 0.491 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ceb-fr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-ceb-sv * source languages: ceb * target languages: sv * OPUS readme: [ceb-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-sv/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/ceb-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ceb-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.ceb.sv | 35.5 | 0.552 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-ceb-sv
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ceb", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cel-eng * source group: Celtic languages * target group: English * OPUS readme: [cel-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md) * model: transformer * source language(s): bre cor cym gla gle glv * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.bre-eng.bre.eng | 17.2 | 0.385 | | Tatoeba-test.cor-eng.cor.eng | 3.0 | 0.172 | | Tatoeba-test.cym-eng.cym.eng | 41.5 | 0.582 | | Tatoeba-test.gla-eng.gla.eng | 15.4 | 0.330 | | Tatoeba-test.gle-eng.gle.eng | 50.8 | 0.668 | | Tatoeba-test.glv-eng.glv.eng | 11.0 | 0.297 | | Tatoeba-test.multi.eng | 22.8 | 0.398 | ### System Info: - hf_name: cel-eng - source_languages: cel - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel', 'en'] - src_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cel-eng/opus2m-2020-07-31.test.txt - src_alpha3: cel - tgt_alpha3: eng - short_pair: cel-en - chrF2_score: 0.39799999999999996 - bleu: 22.8 - brevity_penalty: 1.0 - ref_len: 42097.0 - src_name: Celtic languages - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cel - tgt_alpha2: en - prefer_old: False - long_pair: cel-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["gd", "ga", "br", "kw", "gv", "cy", "cel", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cel-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "gd", "ga", "br", "kw", "gv", "cy", "cel", "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-chk-en * source languages: chk * target languages: en * OPUS readme: [chk-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.en | 31.2 | 0.465 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-chk-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "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-chk-es * source languages: chk * target languages: es * OPUS readme: [chk-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.es | 20.8 | 0.374 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-chk-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-chk-fr * source languages: chk * target languages: fr * OPUS readme: [chk-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-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/chk-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.fr | 22.4 | 0.387 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-chk-fr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-chk-sv * source languages: chk * target languages: sv * OPUS readme: [chk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-sv/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/chk-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/chk-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.chk.sv | 23.6 | 0.406 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-chk-sv
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "chk", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cpf-eng * source group: Creoles and pidgins, French‑based * target group: English * OPUS readme: [cpf-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md) * model: transformer * source language(s): gcf_Latn hat mfe * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.gcf-eng.gcf.eng | 8.4 | 0.229 | | Tatoeba-test.hat-eng.hat.eng | 28.0 | 0.421 | | Tatoeba-test.mfe-eng.mfe.eng | 66.0 | 0.808 | | Tatoeba-test.multi.eng | 16.3 | 0.323 | ### System Info: - hf_name: cpf-eng - source_languages: cpf - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpf-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['ht', 'cpf', 'en'] - src_constituents: {'gcf_Latn', 'hat', 'mfe'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpf-eng/opus2m-2020-07-31.test.txt - src_alpha3: cpf - tgt_alpha3: eng - short_pair: cpf-en - chrF2_score: 0.32299999999999995 - bleu: 16.3 - brevity_penalty: 1.0 - ref_len: 990.0 - src_name: Creoles and pidgins, French‑based - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cpf - tgt_alpha2: en - prefer_old: False - long_pair: cpf-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["ht", "cpf", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cpf-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "ht", "cpf", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cpp-cpp * source group: Creoles and pidgins, Portuguese-based * target group: Creoles and pidgins, Portuguese-based * OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md) * model: transformer * source language(s): ind pap * target language(s): ind pap * 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-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa-msa.msa.msa | 0.7 | 0.149 | | Tatoeba-test.msa-pap.msa.pap | 31.7 | 0.577 | | Tatoeba-test.multi.multi | 21.1 | 0.369 | | Tatoeba-test.pap-msa.pap.msa | 17.7 | 0.197 | ### System Info: - hf_name: cpp-cpp - source_languages: cpp - target_languages: cpp - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['id', 'cpp'] - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - src_multilingual: True - tgt_multilingual: True - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt - src_alpha3: cpp - tgt_alpha3: cpp - short_pair: cpp-cpp - chrF2_score: 0.369 - bleu: 21.1 - brevity_penalty: 0.882 - ref_len: 18.0 - src_name: Creoles and pidgins, Portuguese-based - tgt_name: Creoles and pidgins, Portuguese-based - train_date: 2020-07-26 - src_alpha2: cpp - tgt_alpha2: cpp - prefer_old: False - long_pair: cpp-cpp - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["id", "cpp"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cpp-cpp
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "cpp", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cpp-eng * source group: Creoles and pidgins, Portuguese-based * target group: English * OPUS readme: [cpp-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md) * model: transformer * source language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip) * test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt) * test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.msa-eng.msa.eng | 39.6 | 0.580 | | Tatoeba-test.multi.eng | 39.7 | 0.580 | | Tatoeba-test.pap-eng.pap.eng | 49.1 | 0.579 | ### System Info: - hf_name: cpp-eng - source_languages: cpp - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['id', 'cpp', 'en'] - src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-eng/opus2m-2020-07-31.test.txt - src_alpha3: cpp - tgt_alpha3: eng - short_pair: cpp-en - chrF2_score: 0.58 - bleu: 39.7 - brevity_penalty: 0.972 - ref_len: 37399.0 - src_name: Creoles and pidgins, Portuguese-based - tgt_name: English - train_date: 2020-07-31 - src_alpha2: cpp - tgt_alpha2: en - prefer_old: False - long_pair: cpp-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["id", "cpp", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cpp-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "id", "cpp", "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-crs-de * source languages: crs * target languages: de * OPUS readme: [crs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.de | 20.4 | 0.397 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-crs-de
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-crs-en * source languages: crs * target languages: en * OPUS readme: [crs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.en | 42.9 | 0.589 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-crs-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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-crs-es * source languages: crs * target languages: es * OPUS readme: [crs-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.es | 26.1 | 0.445 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-crs-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-crs-fi * source languages: crs * target languages: fi * OPUS readme: [crs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-fi/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/crs-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.fi | 25.6 | 0.479 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-crs-fi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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-crs-fr * source languages: crs * target languages: fr * OPUS readme: [crs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.fr | 29.4 | 0.475 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-crs-fr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-crs-sv * source languages: crs * target languages: sv * OPUS readme: [crs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-sv/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/crs-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.crs.sv | 29.3 | 0.480 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-crs-sv
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "crs", "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-cs-de * source languages: cs * target languages: de * OPUS readme: [cs-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009.cs.de | 22.0 | 0.525 | | news-test2008.cs.de | 21.1 | 0.520 | | newstest2009.cs.de | 22.2 | 0.525 | | newstest2010.cs.de | 22.1 | 0.527 | | newstest2011.cs.de | 21.6 | 0.515 | | newstest2012.cs.de | 22.2 | 0.516 | | newstest2013.cs.de | 24.8 | 0.538 | | newstest2019-csde.cs.de | 23.6 | 0.530 | | Tatoeba.cs.de | 51.6 | 0.687 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-de
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-cs-en * source languages: cs * target languages: en * OPUS readme: [cs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newstest2014-csen.cs.en | 34.1 | 0.612 | | newstest2015-encs.cs.en | 30.4 | 0.565 | | newstest2016-encs.cs.en | 31.8 | 0.584 | | newstest2017-encs.cs.en | 28.7 | 0.556 | | newstest2018-encs.cs.en | 30.3 | 0.566 | | Tatoeba.cs.en | 58.0 | 0.721 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### ces-epo * source group: Czech * target group: Esperanto * OPUS readme: [ces-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md) * model: transformer-align * source language(s): ces * target language(s): epo * 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/ces-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ces.epo | 26.0 | 0.459 | ### System Info: - hf_name: ces-epo - source_languages: ces - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['cs', 'eo'] - src_constituents: {'ces'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-epo/opus-2020-06-16.test.txt - src_alpha3: ces - tgt_alpha3: epo - short_pair: cs-eo - chrF2_score: 0.45899999999999996 - bleu: 26.0 - brevity_penalty: 0.94 - ref_len: 24901.0 - src_name: Czech - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: cs - tgt_alpha2: eo - prefer_old: False - long_pair: ces-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["cs", "eo"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-eo
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-cs-fi * source languages: cs * target languages: fi * OPUS readme: [cs-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-fi/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/cs-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.cs.fi | 25.5 | 0.523 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-fi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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-cs-fr * source languages: cs * target languages: fr * OPUS readme: [cs-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-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/cs-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | GlobalVoices.cs.fr | 21.0 | 0.488 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-fr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-cs-sv * source languages: cs * target languages: sv * OPUS readme: [cs-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cs-sv/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/cs-sv/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cs-sv/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.cs.sv | 30.6 | 0.527 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-sv
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "sv", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### ces-ukr * source group: Czech * target group: Ukrainian * OPUS readme: [ces-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md) * model: transformer-align * source language(s): ces * target language(s): ukr * 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/ces-ukr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.ces.ukr | 50.9 | 0.680 | ### System Info: - hf_name: ces-ukr - source_languages: ces - target_languages: ukr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['cs', 'uk'] - src_constituents: {'ces'} - tgt_constituents: {'ukr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt - src_alpha3: ces - tgt_alpha3: ukr - short_pair: cs-uk - chrF2_score: 0.68 - bleu: 50.9 - brevity_penalty: 0.9940000000000001 - ref_len: 8891.0 - src_name: Czech - tgt_name: Ukrainian - train_date: 2020-06-17 - src_alpha2: cs - tgt_alpha2: uk - prefer_old: False - long_pair: ces-ukr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["cs", "uk"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cs-uk
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cs", "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-csg-es * source languages: csg * target languages: es * OPUS readme: [csg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csg-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csg-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.csg.es | 93.1 | 0.952 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-csg-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "csg", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-csn-es * source languages: csn * target languages: es * OPUS readme: [csn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csn-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.csn.es | 87.4 | 0.899 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-csn-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "csn", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### cus-eng * source group: Cushitic languages * target group: English * OPUS readme: [cus-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md) * model: transformer * source language(s): som * target language(s): eng * model: transformer * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip) * test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt) * test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.multi.eng | 16.2 | 0.303 | | Tatoeba-test.som-eng.som.eng | 16.2 | 0.303 | ### System Info: - hf_name: cus-eng - source_languages: cus - target_languages: eng - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cus-eng/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['so', 'cus', 'en'] - src_constituents: {'som'} - tgt_constituents: {'eng'} - src_multilingual: True - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cus-eng/opus-2020-07-26.test.txt - src_alpha3: cus - tgt_alpha3: eng - short_pair: cus-en - chrF2_score: 0.303 - bleu: 16.2 - brevity_penalty: 1.0 - ref_len: 3.0 - src_name: Cushitic languages - tgt_name: English - train_date: 2020-07-26 - src_alpha2: cus - tgt_alpha2: en - prefer_old: False - long_pair: cus-eng - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["so", "cus", "en"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cus-en
null
[ "transformers", "pytorch", "tf", "safetensors", "marian", "text2text-generation", "translation", "so", "cus", "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-cy-en * source languages: cy * target languages: en * OPUS readme: [cy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cy-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/cy-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.cy.en | 33.0 | 0.525 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-cy-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "cy", "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-da-de * source languages: da * target languages: de * OPUS readme: [da-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-de/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.da.de | 57.4 | 0.740 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-de
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-da-en * source languages: da * target languages: en * OPUS readme: [da-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-en/opus-2019-12-18.zip) * test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-en/opus-2019-12-18.test.txt) * test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-en/opus-2019-12-18.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.da.en | 63.6 | 0.769 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-en
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "en", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### dan-epo * source group: Danish * target group: Esperanto * OPUS readme: [dan-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md) * model: transformer-align * source language(s): dan * target language(s): epo * 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/dan-epo/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.dan.epo | 23.6 | 0.432 | ### System Info: - hf_name: dan-epo - source_languages: dan - target_languages: epo - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'eo'] - src_constituents: {'dan'} - tgt_constituents: {'epo'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt - src_alpha3: dan - tgt_alpha3: epo - short_pair: da-eo - chrF2_score: 0.43200000000000005 - bleu: 23.6 - brevity_penalty: 0.9420000000000001 - ref_len: 69856.0 - src_name: Danish - tgt_name: Esperanto - train_date: 2020-06-16 - src_alpha2: da - tgt_alpha2: eo - prefer_old: False - long_pair: dan-epo - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["da", "eo"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-eo
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-da-es * source languages: da * target languages: es * OPUS readme: [da-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.da.es | 53.7 | 0.715 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-da-fi * source languages: da * target languages: fi * OPUS readme: [da-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-fi/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/da-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.da.fi | 39.0 | 0.629 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-fi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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-da-fr * source languages: da * target languages: fr * OPUS readme: [da-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-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/da-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.da.fr | 62.2 | 0.751 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-fr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### dan-nor * source group: Danish * target group: Norwegian * OPUS readme: [dan-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md) * model: transformer-align * source language(s): dan * target language(s): nno nob * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * 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/dan-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.dan.nor | 66.4 | 0.801 | ### System Info: - hf_name: dan-nor - source_languages: dan - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'no'] - src_constituents: {'dan'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt - src_alpha3: dan - tgt_alpha3: nor - short_pair: da-no - chrF2_score: 0.8009999999999999 - bleu: 66.4 - brevity_penalty: 0.996 - ref_len: 9691.0 - src_name: Danish - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: da - tgt_alpha2: no - prefer_old: False - long_pair: dan-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["da", false], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-no
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### dan-rus * source group: Danish * target group: Russian * OPUS readme: [dan-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md) * model: transformer-align * source language(s): dan * target language(s): rus * 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/dan-rus/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.dan.rus | 52.5 | 0.715 | ### System Info: - hf_name: dan-rus - source_languages: dan - target_languages: rus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-rus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['da', 'ru'] - src_constituents: {'dan'} - tgt_constituents: {'rus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-rus/opus-2020-06-17.test.txt - src_alpha3: dan - tgt_alpha3: rus - short_pair: da-ru - chrF2_score: 0.715 - bleu: 52.5 - brevity_penalty: 0.991 - ref_len: 10480.0 - src_name: Danish - tgt_name: Russian - train_date: 2020-06-17 - src_alpha2: da - tgt_alpha2: ru - prefer_old: False - long_pair: dan-rus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["da", "ru"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-da-ru
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "da", "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-de-ZH * source languages: de * target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh * OPUS readme: [de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/README.md) * dataset: opus * model: transformer-align * 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-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | bible-uedin.de.zh | 24.4 | 0.335 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ZH
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "zh", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-afr * source group: German * target group: Afrikaans * OPUS readme: [deu-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md) * model: transformer-align * source language(s): deu * target language(s): afr * 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/deu-afr/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.afr | 51.3 | 0.690 | ### System Info: - hf_name: deu-afr - source_languages: deu - target_languages: afr - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'af'] - src_constituents: {'deu'} - tgt_constituents: {'afr'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: afr - short_pair: de-af - chrF2_score: 0.69 - bleu: 51.3 - brevity_penalty: 1.0 - ref_len: 9507.0 - src_name: German - tgt_name: Afrikaans - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: af - prefer_old: False - long_pair: deu-afr - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "af"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-af
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "af", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-ara * source group: German * target group: Arabic * OPUS readme: [deu-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md) * model: transformer-align * source language(s): deu * target language(s): afb apc ara ara_Latn arq arz * 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-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.ara | 19.7 | 0.486 | ### System Info: - hf_name: deu-ara - source_languages: deu - target_languages: ara - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ara/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'ar'] - src_constituents: {'deu'} - tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ara/opus-2020-07-03.test.txt - src_alpha3: deu - tgt_alpha3: ara - short_pair: de-ar - chrF2_score: 0.486 - bleu: 19.7 - brevity_penalty: 0.993 - ref_len: 6324.0 - src_name: German - tgt_name: Arabic - train_date: 2020-07-03 - src_alpha2: de - tgt_alpha2: ar - prefer_old: False - long_pair: deu-ara - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "ar"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ar
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ar", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ase * source languages: de * target languages: ase * OPUS readme: [de-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ase/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/de-ase/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ase/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ase | 30.4 | 0.483 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ase
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ase", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-bcl * source languages: de * target languages: bcl * OPUS readme: [de-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bcl/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/de-bcl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bcl/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.bcl | 34.6 | 0.563 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-bcl
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bcl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-bul * source group: German * target group: Bulgarian * OPUS readme: [deu-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md) * model: transformer * source language(s): deu * target language(s): bul * model: transformer * pre-processing: normalization + SentencePiece (spm32k,spm32k) * download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip) * test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt) * test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.bul | 50.7 | 0.683 | ### System Info: - hf_name: deu-bul - source_languages: deu - target_languages: bul - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-bul/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'bg'] - src_constituents: {'deu'} - tgt_constituents: {'bul', 'bul_Latn'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-bul/opus-2020-07-03.test.txt - src_alpha3: deu - tgt_alpha3: bul - short_pair: de-bg - chrF2_score: 0.6829999999999999 - bleu: 50.7 - brevity_penalty: 0.98 - ref_len: 2032.0 - src_name: German - tgt_name: Bulgarian - train_date: 2020-07-03 - src_alpha2: de - tgt_alpha2: bg - prefer_old: False - long_pair: deu-bul - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "bg"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-bg
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-bi * source languages: de * target languages: bi * OPUS readme: [de-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bi/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/de-bi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bi/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.bi | 25.7 | 0.450 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-bi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-bzs * source languages: de * target languages: bzs * OPUS readme: [de-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-bzs/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/de-bzs/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-bzs/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.bzs | 21.0 | 0.389 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-bzs
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "bzs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-cat * source group: German * target group: Catalan * OPUS readme: [deu-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md) * model: transformer-align * source language(s): deu * target language(s): cat * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.cat | 37.4 | 0.582 | ### System Info: - hf_name: deu-cat - source_languages: deu - target_languages: cat - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-cat/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'ca'] - src_constituents: {'deu'} - tgt_constituents: {'cat'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-cat/opus-2020-06-16.test.txt - src_alpha3: deu - tgt_alpha3: cat - short_pair: de-ca - chrF2_score: 0.5820000000000001 - bleu: 37.4 - brevity_penalty: 0.956 - ref_len: 5507.0 - src_name: German - tgt_name: Catalan - train_date: 2020-06-16 - src_alpha2: de - tgt_alpha2: ca - prefer_old: False - long_pair: deu-cat - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "ca"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ca
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ca", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-crs * source languages: de * target languages: crs * OPUS readme: [de-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-crs/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/de-crs/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-crs/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.crs | 24.1 | 0.429 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-crs
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "crs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-cs * source languages: de * target languages: cs * OPUS readme: [de-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cs/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/de-cs/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cs/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009.de.cs | 22.4 | 0.499 | | news-test2008.de.cs | 20.2 | 0.487 | | newstest2009.de.cs | 20.9 | 0.485 | | newstest2010.de.cs | 22.7 | 0.510 | | newstest2011.de.cs | 21.2 | 0.487 | | newstest2012.de.cs | 20.9 | 0.479 | | newstest2013.de.cs | 23.0 | 0.500 | | newstest2019-decs.de.cs | 22.5 | 0.495 | | Tatoeba.de.cs | 42.2 | 0.625 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-cs
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "cs", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-da * source languages: de * target languages: da * OPUS readme: [de-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-da/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.da | 57.2 | 0.730 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-da
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-de * source languages: de * target languages: de * OPUS readme: [de-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-de/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.de | 40.7 | 0.616 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-de
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ee * source languages: de * target languages: ee * OPUS readme: [de-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ee/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/de-ee/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ee/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ee | 24.6 | 0.463 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ee
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ee", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-efi * source languages: de * target languages: efi * OPUS readme: [de-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-efi/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/de-efi/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-efi/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.efi | 24.2 | 0.451 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-efi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "efi", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-el * source languages: de * target languages: el * OPUS readme: [de-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-el/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/de-el/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-el/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.el | 45.7 | 0.649 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-el
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-en * source languages: de * target languages: en * OPUS readme: [de-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-en/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/de-en/opus-2020-02-26.zip) * test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.test.txt) * test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | newssyscomb2009.de.en | 29.4 | 0.557 | | news-test2008.de.en | 27.8 | 0.548 | | newstest2009.de.en | 26.8 | 0.543 | | newstest2010.de.en | 30.2 | 0.584 | | newstest2011.de.en | 27.4 | 0.556 | | newstest2012.de.en | 29.1 | 0.569 | | newstest2013.de.en | 32.1 | 0.583 | | newstest2014-deen.de.en | 34.0 | 0.600 | | newstest2015-ende.de.en | 34.2 | 0.599 | | newstest2016-ende.de.en | 40.4 | 0.649 | | newstest2017-ende.de.en | 35.7 | 0.610 | | newstest2018-ende.de.en | 43.7 | 0.667 | | newstest2019-deen.de.en | 40.1 | 0.642 | | Tatoeba.de.en | 55.4 | 0.707 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-en
null
[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "de", "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-de-eo * source languages: de * target languages: eo * OPUS readme: [de-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-eo/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/de-eo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-eo/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.eo | 48.6 | 0.673 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-eo
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "eo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-es * source languages: de * target languages: es * OPUS readme: [de-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-es/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.zip) * test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.test.txt) * test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-es/opus-2020-01-15.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.es | 48.5 | 0.676 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-es
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "es", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-et * source languages: de * target languages: et * OPUS readme: [de-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-et/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/de-et/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-et/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.et | 20.2 | 0.465 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-et
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "et", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-eus * source group: German * target group: Basque * OPUS readme: [deu-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md) * model: transformer-align * source language(s): deu * target language(s): eus * model: transformer-align * pre-processing: normalization + SentencePiece (spm12k,spm12k) * download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.zip) * test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt) * test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.eus | 31.8 | 0.574 | ### System Info: - hf_name: deu-eus - source_languages: deu - target_languages: eus - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-eus/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'eu'] - src_constituents: {'deu'} - tgt_constituents: {'eus'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm12k,spm12k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-eus/opus-2020-06-16.test.txt - src_alpha3: deu - tgt_alpha3: eus - short_pair: de-eu - chrF2_score: 0.574 - bleu: 31.8 - brevity_penalty: 0.9209999999999999 - ref_len: 2829.0 - src_name: German - tgt_name: Basque - train_date: 2020-06-16 - src_alpha2: de - tgt_alpha2: eu - prefer_old: False - long_pair: deu-eus - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "eu"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-eu
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "eu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-fi * source languages: de * target languages: fi * OPUS readme: [de-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fi/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/de-fi/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fi/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.fi | 40.0 | 0.628 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-fi
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-fj * source languages: de * target languages: fj * OPUS readme: [de-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-fj/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/de-fj/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fj/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.fj | 24.6 | 0.470 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-fj
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "fj", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-fr * source languages: de * target languages: fr * OPUS readme: [de-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-fr/opus-2020-01-08.zip) * test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.test.txt) * test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-fr/opus-2020-01-08.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | euelections_dev2019.transformer-align.de | 32.2 | 0.590 | | newssyscomb2009.de.fr | 26.8 | 0.553 | | news-test2008.de.fr | 26.4 | 0.548 | | newstest2009.de.fr | 25.6 | 0.539 | | newstest2010.de.fr | 29.1 | 0.572 | | newstest2011.de.fr | 26.9 | 0.551 | | newstest2012.de.fr | 27.7 | 0.554 | | newstest2013.de.fr | 29.5 | 0.560 | | newstest2019-defr.de.fr | 36.6 | 0.625 | | Tatoeba.de.fr | 49.2 | 0.664 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-fr
null
[ "transformers", "pytorch", "tf", "rust", "marian", "text2text-generation", "translation", "de", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-gaa * source languages: de * target languages: gaa * OPUS readme: [de-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-gaa/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/de-gaa/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gaa/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.gaa | 26.3 | 0.471 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-gaa
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "gaa", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-gil * source languages: de * target languages: gil * OPUS readme: [de-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-gil/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/de-gil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-gil/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.gil | 24.0 | 0.472 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-gil
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "gil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-guw * source languages: de * target languages: guw * OPUS readme: [de-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-guw/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/de-guw/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-guw/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.guw | 27.1 | 0.472 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-guw
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "guw", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ha * source languages: de * target languages: ha * OPUS readme: [de-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ha/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/de-ha/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ha/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ha | 20.7 | 0.417 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ha
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ha", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-he * source languages: de * target languages: he * OPUS readme: [de-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-he/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.zip) * test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.test.txt) * test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-he/opus-2020-01-29.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.he | 36.6 | 0.581 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-he
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "he", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-hil * source languages: de * target languages: hil * OPUS readme: [de-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hil/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/de-hil/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hil/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.hil | 33.9 | 0.563 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-hil
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hil", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ho * source languages: de * target languages: ho * OPUS readme: [de-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ho/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/de-ho/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ho/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ho | 22.6 | 0.461 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ho
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ho", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-hr * source languages: de * target languages: hr * OPUS readme: [de-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hr/README.md) * dataset: opus * model: transformer-align * pre-processing: normalization + SentencePiece * download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.zip) * test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.test.txt) * test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hr/opus-2020-01-26.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.hr | 42.6 | 0.643 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-hr
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ht * source languages: de * target languages: ht * OPUS readme: [de-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ht/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/de-ht/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ht/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ht | 21.8 | 0.390 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ht
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ht", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-hu * source languages: de * target languages: hu * OPUS readme: [de-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-hu/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/de-hu/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-hu/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.hu | 34.3 | 0.588 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-hu
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "hu", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ig * source languages: de * target languages: ig * OPUS readme: [de-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ig/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/de-ig/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ig/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ig | 25.3 | 0.422 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ig
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ig", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ilo * source languages: de * target languages: ilo * OPUS readme: [de-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ilo/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/de-ilo/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ilo/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ilo | 29.8 | 0.533 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ilo
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ilo", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-isl * source group: German * target group: Icelandic * OPUS readme: [deu-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md) * model: transformer-align * source language(s): deu * target language(s): isl * 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/deu-isl/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.isl | 27.1 | 0.533 | ### System Info: - hf_name: deu-isl - source_languages: deu - target_languages: isl - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-isl/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'is'] - src_constituents: {'deu'} - tgt_constituents: {'isl'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-isl/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: isl - short_pair: de-is - chrF2_score: 0.5329999999999999 - bleu: 27.1 - brevity_penalty: 0.9620000000000001 - ref_len: 5939.0 - src_name: German - tgt_name: Icelandic - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: is - prefer_old: False - long_pair: deu-isl - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "is"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-is
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "is", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-iso * source languages: de * target languages: iso * OPUS readme: [de-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-iso/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/de-iso/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-iso/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.iso | 21.4 | 0.389 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-iso
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "iso", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-it * source languages: de * target languages: it * OPUS readme: [de-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-it/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/de-it/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-it/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.it | 45.3 | 0.671 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-it
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "it", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-kg * source languages: de * target languages: kg * OPUS readme: [de-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-kg/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/de-kg/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-kg/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.kg | 24.4 | 0.474 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-kg
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "kg", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-ln * source languages: de * target languages: ln * OPUS readme: [de-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ln/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/de-ln/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ln | 26.7 | 0.504 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ln
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ln", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-loz * source languages: de * target languages: loz * OPUS readme: [de-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-loz/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/de-loz/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-loz/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.loz | 27.7 | 0.480 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-loz
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "loz", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-lt * source languages: de * target languages: lt * OPUS readme: [de-lt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lt/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/de-lt/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lt/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.lt | 37.9 | 0.633 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-lt
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "lt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-lua * source languages: de * target languages: lua * OPUS readme: [de-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-lua/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/de-lua/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-lua/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.lua | 23.1 | 0.467 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-lua
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "lua", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-msa * source group: German * target group: Malay (macrolanguage) * OPUS readme: [deu-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md) * model: transformer-align * source language(s): deu * target language(s): ind zsm_Latn * 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/deu-msa/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.msa | 34.0 | 0.607 | ### System Info: - hf_name: deu-msa - source_languages: deu - target_languages: msa - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'ms'] - src_constituents: {'deu'} - tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm32k,spm32k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-msa/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: msa - short_pair: de-ms - chrF2_score: 0.607 - bleu: 34.0 - brevity_penalty: 0.9540000000000001 - ref_len: 3729.0 - src_name: German - tgt_name: Malay (macrolanguage) - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: ms - prefer_old: False - long_pair: deu-msa - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", "ms"], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ms
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "ms", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-mt * source languages: de * target languages: mt * OPUS readme: [de-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-mt/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/de-mt/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-mt/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.mt | 25.0 | 0.436 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-mt
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "mt", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-niu * source languages: de * target languages: niu * OPUS readme: [de-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-niu/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-niu/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.niu | 28.4 | 0.496 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-niu
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-nl * source languages: de * target languages: nl * OPUS readme: [de-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nl/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/de-nl/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba.de.nl | 52.8 | 0.699 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-nl
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "nl", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### deu-nor * source group: German * target group: Norwegian * OPUS readme: [deu-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md) * model: transformer-align * source language(s): deu * target language(s): nno nob * 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-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.zip) * test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt) * test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | Tatoeba-test.deu.nor | 33.2 | 0.554 | ### System Info: - hf_name: deu-nor - source_languages: deu - target_languages: nor - opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md - original_repo: Tatoeba-Challenge - tags: ['translation'] - languages: ['de', 'no'] - src_constituents: {'deu'} - tgt_constituents: {'nob', 'nno'} - src_multilingual: False - tgt_multilingual: False - prepro: normalization + SentencePiece (spm4k,spm4k) - url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.zip - url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt - src_alpha3: deu - tgt_alpha3: nor - short_pair: de-no - chrF2_score: 0.5539999999999999 - bleu: 33.2 - brevity_penalty: 0.956 - ref_len: 32928.0 - src_name: German - tgt_name: Norwegian - train_date: 2020-06-17 - src_alpha2: de - tgt_alpha2: no - prefer_old: False - long_pair: deu-nor - helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535 - transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b - port_machine: brutasse - port_time: 2020-08-21-14:41
{"language": ["de", false], "license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-no
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "no", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-nso * source languages: de * target languages: nso * OPUS readme: [de-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nso/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/de-nso/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nso/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.nso | 31.1 | 0.519 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-nso
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-ny * source languages: de * target languages: ny * OPUS readme: [de-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ny/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/de-ny/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ny/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.ny | 21.4 | 0.481 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-ny
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-pag * source languages: de * target languages: pag * OPUS readme: [de-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-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/de-pag/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pag/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.pag | 24.3 | 0.469 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-pag
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "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-de-pap * source languages: de * target languages: pap * OPUS readme: [de-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pap/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/de-pap/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pap/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.pap | 25.6 | 0.453 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-pap
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pap", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00
translation
transformers
### opus-mt-de-pis * source languages: de * target languages: pis * OPUS readme: [de-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pis/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/de-pis/opus-2020-01-20.zip) * test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.test.txt) * test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pis/opus-2020-01-20.eval.txt) ## Benchmarks | testset | BLEU | chr-F | |-----------------------|-------|-------| | JW300.de.pis | 26.0 | 0.470 |
{"license": "apache-2.0", "tags": ["translation"]}
Helsinki-NLP/opus-mt-de-pis
null
[ "transformers", "pytorch", "tf", "marian", "text2text-generation", "translation", "de", "pis", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "region:us" ]
null
2022-03-02T23:29:04+00:00