deberta-base-chinese-upos
Model Description
This is a DeBERTa(V2) model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing, derived from deberta-base-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-chinese-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-base-chinese-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-base-chinese-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models