readme: ---
  language:
  - "ja"
  tags:
  - "japanese"
  - "masked-lm"
  - "wikipedia"
  license: "cc-by-sa-4.0"
  pipeline_tag: "fill-mask"
  mask_token: "[MASK]"
  widget:
  - text: "日本に着いたら[MASK]を訪ねなさい。"
  ---
  
  # deberta-large-japanese-wikipedia
  
  ## Model Description
  
  This is a DeBERTa(V2) model pre-trained on Japanese Wikipedia and 青空文庫 texts. You can fine-tune `deberta-large-japanese-wikipedia` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/deberta-large-japanese-wikipedia-luw-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/deberta-large-japanese-wikipedia-ud-head), and so on.
  
  ## How to Use
  
  ```py
  from transformers import AutoTokenizer,AutoModelForMaskedLM
  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-large-japanese-wikipedia")
  model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-large-japanese-wikipedia")
  ```
  
  ## Reference
  
  安岡孝一: [青空文庫DeBERTaモデルによる国語研長単位係り受け解析](http://hdl.handle.net/2433/275409), 東洋学へのコンピュータ利用, 第35回研究セミナー (2022年7月), pp.29-43.
  
  