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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/bert-base-vn") model = AutoModelForMaskedLM.from_pretrained("NlpHUST/bert-base-vn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NlpHUST/bert-base-vn: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/NlpHUST/bert-base-vn/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://NlpHUST/bert-base-vn@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/NlpHUST/bert-base-vn/resolve/refs%2Fpr%2F2/tokenizer.json
1.39 MB
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