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bert-base-vietnamese-ud-goeswith
KoichiYasuoka/bert-base-vietnamese-ud-goeswith
bert-base-vietnamese-ud-goeswith is a token classification model from KoichiYasuoka. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
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.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Dec 6, 2022
- Updated
- Jan 28, 2025
- SHA
- 70177adc
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
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."))
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Languages
- vi
- Created
- Dec 6, 2022
- Updated
- Jan 28, 2025