KoichiYasuoka's picture
without ufal.chu-liu.edmonds
ce8e0e3
|
raw
history blame contribute delete
No virus
814 Bytes
metadata
language:
  - vi
tags:
  - vietnamese
  - token-classification
  - pos
  - dependency-parsing
base_model: FPTAI/vibert-base-cased
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
widget:
  - text: Hai cái đầu thì tốt hơn một.

bert-base-vietnamese-ud-goeswith

Model Description

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

How to Use

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