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--- |
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language: |
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- "lzh" |
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tags: |
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- "classical chinese" |
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- "literary chinese" |
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- "ancient chinese" |
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- "masked-lm" |
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base_model: ethanyt/guwenbert-large |
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license: "apache-2.0" |
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pipeline_tag: "fill-mask" |
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mask_token: "[MASK]" |
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widget: |
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- text: "孟子[MASK]梁惠王" |
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--- |
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# roberta-classical-chinese-large-char |
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## Model Description |
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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. |
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## How to Use |
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```py |
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from transformers import AutoTokenizer,AutoModelForMaskedLM |
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char") |
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model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-char") |
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``` |
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## See Also |
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[SuPar-Kanbun](https://github.com/KoichiYasuoka/SuPar-Kanbun): Tokenizer POS-tagger and Dependency-parser for Classical Chinese |
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