metadata
language:
- lzh
tags:
- classical chinese
- literary chinese
- ancient chinese
- token-classification
- pos
- dependency-parsing
base_model: Jihuai/bert-ancient-chinese
datasets:
- universal_dependencies
license: apache-2.0
pipeline_tag: token-classification
widget:
- text: 子曰學而時習之不亦説乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎
bert-ancient-chinese-base-upos
Model Description
This is a BERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from bert-ancient-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-ancient-chinese-base-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/bert-ancient-chinese-base-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models