readme: ---
  language:
  - "lzh"
  tags:
  - "classical chinese"
  - "literary chinese"
  - "ancient chinese"
  - "masked-lm"
  license: "apache-2.0"
  pipeline_tag: "fill-mask"
  mask_token: "[MASK]"
  widget:
  - text: "孟子[MASK]梁惠王"
  ---
  
  # roberta-classical-chinese-large-char
  
  ## Model Description
  
  This is a RoBERTa model pre-trained on Classical Chinese texts, derived from [GuwenBERT-large](https://huggingface.co/ethanyt/guwenbert-large). Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune `roberta-classical-chinese-large-char` for downstream tasks, such as [sentence-segmentation](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-large-sentence-segmentation), [POS-tagging](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-large-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-large-ud-goeswith), and so on.
  
  ## How to Use
  
  ```py
  from transformers import AutoTokenizer,AutoModelForMaskedLM
  tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char")
  model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char")
  ```
  
  ## See Also
  
  [SuPar-Kanbun](https://github.com/KoichiYasuoka/SuPar-Kanbun): Tokenizer POS-tagger and Dependency-parser for Classical Chinese
  
  