readme: ---
  language:
  - "ain"
  tags:
  - "ainu"
  - "token-classification"
  - "pos"
  - "dependency-parsing"
  license: "cc-by-sa-4.0"
  pipeline_tag: "token-classification"
  widget:
  - text: "itak=as awa pon rupne aynu ene itaki"
  - text: "イタカㇱ アワ ポン ルㇷ゚ネ アイヌ エネ イタキ"
  - text: "итакас ава пон рубне айну эне итакі"
  ---
  
  # roberta-base-ainu-upos
  
  ## Model Description
  
  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).
  
  ## How to Use
  
  ```py
  from transformers import AutoTokenizer,AutoModelForTokenClassification
  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-ainu-upos")
  model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-ainu-upos")
  ```
  
  or
  
  ```py
  import esupar
  nlp=esupar.load("KoichiYasuoka/roberta-base-ainu-upos","ainu")
  ```
  
  ## See Also
  
  [esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
  
  