readme: ---
  language:
  - "ja"
  tags:
  - "japanese"
  - "masked-lm"
  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-base-japanese-unidic
  
  ## Model Description
  
  This is a DeBERTa(V2) model pre-trained on 青空文庫 texts with BertJapaneseTokenizer. You can fine-tune `deberta-base-japanese-unidic` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/deberta-base-japanese-unidic-luw-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/deberta-base-japanese-unidic-ud-head), and so on.
  
  ## How to Use
  
  ```py
  from transformers import AutoTokenizer,AutoModelForMaskedLM
  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-japanese-unidic")
  model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/deberta-base-japanese-unidic")
  ```
  
  [fugashi](https://pypi.org/project/fugashi) and [unidic-lite](https://pypi.org/project/unidic-lite) are required.
  
  