metadata
language:
- th
tags:
- thai
- token-classification
- pos
- wikipedia
- dependency-parsing
base_model: Geotrend/bert-base-th-cased
datasets:
- universal_dependencies
license: apache-2.0
pipeline_tag: token-classification
widget:
- text: หลายหัวดีกว่าหัวเดียว
bert-base-thai-upos
Model Description
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")
or
import esupar
nlp=esupar.load("KoichiYasuoka/bert-base-thai-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models