modernbert-large-japanese-wikipedia-upos
Model Description
This is a ModernBERT model pre-trained on Japanese Wikipedia and 青空文庫 texts for POS-tagging and dependency-parsing, derived from modernbert-large-japanese-wikipedia. 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/modernbert-large-japanese-wikipedia-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/modernbert-large-japanese-wikipedia-upos")
print(nlp("国境の長いトンネルを抜けると雪国であった。"))
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT models