gpt2-medium-japanese-upos
Model Description
This is a GPT-2 model for POS-tagging and dependency-parsing, derived from gpt2-medium-japanese-char. Every short-unit-word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
How to Use
from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/gpt2-medium-japanese-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("国境の長いトンネルを抜けると雪国であった。"))
or
import esupar
nlp=esupar.load("KoichiYasuoka/gpt2-medium-japanese-upos")
print(nlp("国境の長いトンネルを抜けると雪国であった。"))
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.
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
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