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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
+unigram.json filter=lfs diff=lfs merge=lfs -text

CHANGELOG.md

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+# Changelog
+
+## v0.1 - 2024-04-06 - @0xnu
+* Initial release.

LICENSE

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+0xnu/pmmlv2-fine-tuned-igbo
+Copyright (c) 2024 Finbarrs Oketunji.
+
+MIT License
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

NOTICE

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+@name: 0xnu/pmmlv2-fine-tuned-igbo
+@author: Finbarrs Oketunji
+@contact: [email protected]
+@time: 06/04/2024 - 15:30:02
+
+This product includes software developed by [Finbarrs Oketunji](https://finbarrs.eu).

README.md

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 ---
+language:
+- multilingual
+- ar
+- bg
+- ca
+- cs
+- da
+- de
+- el
+- en
+- es
+- et
+- fa
+- fi
+- fr
+- gl
+- gu
+- he
+- hi
+- hr
+- hu
+- hy
+- id
+- it
+- ja
+- ka
+- ko
+- ku
+- lt
+- lv
+- mk
+- mn
+- mr
+- ms
+- my
+- nb
+- nl
+- pl
+- pt
+- ro
+- ru
+- sk
+- sl
+- sq
+- sr
+- sv
+- th
+- tr
+- uk
+- ur
+- vi
+- ig
 license: mit
+library_name: sentence-transformers
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- transformers
+language_bcp47:
+- fr-ca
+- pt-br
+- zh-cn
+- zh-tw
+pipeline_tag: sentence-similarity
+inference: false
 ---
+
+## 0xnu/pmmlv2-fine-tuned-igbo
+
+Igbo fine-tuned LLM using [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2).
+
+[Igbo](https://en.wikipedia.org/wiki/Igbo_language) words, like those in [Yoruba](https://en.wikipedia.org/wiki/Yoruba_language), are composed of different combinations of vowels and consonants. The Igbo language has a complex phonetic system featuring twenty-eight consonant sounds and eight vowels. Igbo words can range from simple to intricate in their structure, but they adhere to specific patterns of syllable formation and pronunciation. Igbo employs three distinct tones to distinguish meaning: high, low, and downstep. These tones are indicated by diacritical marks, such as acute accents (´), grave accents (`), and macrons (¯), required for accurate pronunciation and comprehension. Furthermore, Igbo words may include digraphs (two-letter combinations representing a single sound) and diphthongs (gliding vowel sounds), adding to the language's phonological richness.
+
+### Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["Kini olu ilu England", "Kini eranko ti o gbona julọ ni agbaye?"]
+
+model = SentenceTransformer('0xnu/pmmlv2-fine-tuned-igbo')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+### License
+
+This project is licensed under the [MIT License](./LICENSE).
+
+### Copyright
+
+(c) 2024 [Finbarrs Oketunji](https://finbarrs.eu).

config.json

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+{
+  "_name_or_path": "new_models/0xnu/pmmlv2-fine-tuned-igbo/",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 250037
+}

config_sentence_transformers.json

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+{
+  "__version__": {
+    "sentence_transformers": "2.0.0",
+    "transformers": "4.7.0",
+    "pytorch": "1.9.0+cu102"
+  },
+  "prompts": {},
+  "default_prompt_name": null
+}

model.safetensors

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modules.json

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+[
+  {
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+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
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+  {
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+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  }
+]

sentence_bert_config.json

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+{
+  "max_seq_length": 128,
+  "do_lower_case": false
+}

special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "truncation_strategy": "longest_first",
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+}

unigram.json

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