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KoichiYasuoka
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phobert-base-vietnamese-ud-goeswith

Token Classification
Transformers
PyTorch
Vietnamese
roberta
vietnamese
pos
dependency-parsing
Inference Endpoints
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metadata
language:
  - vi
tags:
  - vietnamese
  - token-classification
  - pos
  - dependency-parsing
base_model: vinai/phobert-base
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
widget:
  - text: Hai cái đầu thì tốt hơn một

phobert-base-vietnamese-ud-goeswith

Model Description

This is a PhoBERT model pre-trained on Vietnamese texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from phobert-base.

How to Use 

from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/phobert-base-vietnamese-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("Hai cái đầu thì tốt hơn một."))

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.