modernbert-base-thai-wikipedia-upos

Model Description

This is a ModernBERT model pre-trained on Thai Wikipedia texts for POS-tagging and dependency-parsing, derived from modernbert-base-thai-wikipedia. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.

How to Use

from transformers import pipeline
nlp=pipeline("upos","KoichiYasuoka/modernbert-base-thai-wikipedia-upos",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("หลายหัวดีกว่าหัวเดียว"))

or

import esupar
nlp=esupar.load("KoichiYasuoka/modernbert-base-thai-wikipedia-upos")
print(nlp("หลายหัวดีกว่าหัวเดียว"))

See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT models

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Dataset used to train KoichiYasuoka/modernbert-base-thai-wikipedia-upos