This is a DeBERTa(V2) model pre-trained on Chinese texts (both simplified and traditional) for POS-tagging and dependency-parsing (using goeswith for subwords), derived from deberta-large-chinese-erlangshen-upos.

How to Use

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/deberta-large-chinese-erlangshen-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("我把这本书看完了"))