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