Xunzi-Qwen2-1.5B-upos

Model Description

This is a Qwen2 model pre-trained on Classical Chinese texts for POS-tagging, derived from Xunzi-Qwen2-1.5B. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.

How to Use

from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/Xunzi-Qwen2-1.5B-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("不入虎穴不得虎子"))