| 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-base-char | |
| ## Model Description | |
| This is a RoBERTa model pre-trained on Classical Chinese texts, derived from [GuwenBERT-base](https://huggingface.co/ethanyt/guwenbert-base). Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune `roberta-classical-chinese-base-char` for downstream tasks, such as [sentence-segmentation](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-sentence-segmentation), [POS-tagging](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-upos), [dependency-parsing](https://huggingface.co/KoichiYasuoka/roberta-classical-chinese-base-ud-goeswith), and so on. | |
| ## How to Use | |
| ```py | |
| from transformers import AutoTokenizer,AutoModelForMaskedLM | |
| tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-char") | |
| model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-char") | |
| ``` | |
| ## See Also | |
| [SuPar-Kanbun](https://github.com/KoichiYasuoka/SuPar-Kanbun): Tokenizer POS-tagger and Dependency-parser for Classical Chinese | |