Xunzi-Qwen1.5-7B-upos
Model Description
This is a Qwen1.5 model pre-trained on Classical Chinese texts for POS-tagging, derived from Xunzi-Qwen1.5-7B. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
How to Use
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/Xunzi-Qwen1.5-7B-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("不入虎穴不得虎子"))
Reference
安岡孝一: GPT系モデルの系列ラベリングによる品詞付与, 東洋学へのコンピュータ利用, 第38回研究セミナー (2024年7月26日), pp.3-10.
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