roberta-base-thai-char-ud-goeswith

Model Description

This is a RoBERTa model pre-trained on Thai Wikipedia texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-base-thai-char-upos.

How to Use

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-base-thai-char-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("หลายหัวดีกว่าหัวเดียว"))

Reference

Koichi Yasuoka: Sequence-Labeling RoBERTa Model for Dependency-Parsing in Classical Chinese and Its Application to Vietnamese and Thai, ICBIR 2023: 8th International Conference on Business and Industrial Research (May 2023), pp.169-173.

Downloads last month
23
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for KoichiYasuoka/roberta-base-thai-char-ud-goeswith

Dataset used to train KoichiYasuoka/roberta-base-thai-char-ud-goeswith