metadata
language:
- lzh
tags:
- classical chinese
- literary chinese
- ancient chinese
- sentence segmentation
license: apache-2.0
pipeline_tag: token-classification
widget:
- text: 子曰學而時習之不亦說乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎
roberta-classical-chinese-base-sentence-segmentation
Model Description
This is a RoBERTa model pre-trained on Classical Chinese texts for sentence segmentation, derived from roberta-classical-chinese-base-char.
How to Use
import torch
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-sentence-segmentation")
model=AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-classical-chinese-base-sentence-segmentation")
s="子曰學而時習之不亦說乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎"
p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))[0],dim=2)[0].tolist()[1:-1]]
print("".join(c+"。" if q=="E" or q=="S" else c for c,q in zip(s,p)))