metadata
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. Character-embeddings are enhanced into traditional/simplified characters. You can fine-tune roberta-classical-chinese-base-char for downstream tasks, such as sentence-segmentation, POS-tagging, dependency-parsing, and so on.
How to Use
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: Tokenizer POS-tagger and Dependency-parser for Classical Chinese