Instructions to use NlpHUST/bert-base-vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/bert-base-vn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NlpHUST/bert-base-vn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/bert-base-vn") model = AutoModelForMaskedLM.from_pretrained("NlpHUST/bert-base-vn") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8ec23652dc801a186720f91db148bed41b7120dd29a0a2a7f6bf8790ffb9d51
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size 534911424
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