readme: ---
  language:
  - "ja"
  tags:
  - "japanese"
  - "masked-lm"
  - "wikipedia"
  license: "cc-by-sa-4.0"
  pipeline_tag: "fill-mask"
  mask_token: "[MASK]"
  widget:
  - text: "酸素ボンベを充[MASK]する。"
  ---
  
  # bert-large-japanese-char-extended
  
  ## Model Description
  
  This is a BERT model pre-trained on Japanese Wikipedia texts, derived from [bert-large-japanese-char](https://huggingface.co/cl-tohoku/bert-large-japanese-char). Character-embeddings are enhanced to include all 常用漢字/人名用漢字 characters using BertTokenizerFast. You can fine-tune `bert-large-japanese-char-extended` for downstream tasks, such as [POS-tagging](https://huggingface.co/KoichiYasuoka/bert-large-japanese-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/bert-large-japanese-wikipedia-ud-head), and so on.
  
  ## How to Use
  
  ```py
  from transformers import AutoTokenizer,AutoModelForMaskedLM
  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-large-japanese-char-extended")
  model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/bert-large-japanese-char-extended")
  ```
  
  