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--- |
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language: |
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- "ain" |
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tags: |
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- "ainu" |
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- "token-classification" |
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- "pos" |
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- "dependency-parsing" |
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base_model: KoichiYasuoka/roberta-base-ainu |
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license: "cc-by-sa-4.0" |
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pipeline_tag: "token-classification" |
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widget: |
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- text: "itak=as awa pon rupne aynu ene itaki" |
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- text: "イタカㇱ アワ ポン ルㇷ゚ネ アイヌ エネ イタキ" |
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- text: "итакас ава пон рубне айну эне итакі" |
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--- |
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# roberta-base-ainu-upos |
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## Model Description |
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This is a RoBERTa model pre-trained on Ainu texts (in カタカナ, Roman, and Кириллица) for POS-tagging and dependency-parsing, derived from [roberta-base-ainu](https://huggingface.co/KoichiYasuoka/roberta-base-ainu). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech). |
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## How to Use |
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```py |
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from transformers import AutoTokenizer,AutoModelForTokenClassification |
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-ainu-upos") |
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model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-ainu-upos") |
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``` |
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or |
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```py |
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import esupar |
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nlp=esupar.load("KoichiYasuoka/roberta-base-ainu-upos","ainu") |
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``` |
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## Reference |
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安岡孝一: [ローマ字・カタカナ・キリル文字併用アイヌ語RoBERTa・DeBERTaモデルの開発](http://id.nii.ac.jp/1001/00224072/), 情報処理学会研究報告, Vol.2023-CH-131『人文科学とコンピュータ』, No.7 (2023年2月18日), pp.1-7. |
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## See Also |
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[esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models |
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