This is a BERT model pre-trained on Thai Wikipedia texts for POS-tagging and dependency-parsing, derived from bert-base-th-cased. Every word is tagged by UPOS (Universal Part-Of-Speech).

How to Use

from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-thai-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-thai-upos")

import esupar
nlp=esupar.load("KoichiYasuoka/bert-base-thai-upos")

KoichiYasuoka/bert-base-thai-upos

bert-base-thai-upos

Model Description

How to Use

See Also

KoichiYasuoka/
bert-base-thai-upos