Instructions to use VuongQuoc/bert-base-VN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/bert-base-VN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="VuongQuoc/bert-base-VN")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/bert-base-VN") model = AutoModel.from_pretrained("VuongQuoc/bert-base-VN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37c184119c122a8195052f7ae587f0da3e9db634f016a76d340b5f797764c0d2
- Size of remote file:
- 433 MB
- SHA256:
- a4d291c9e1e9379ce80967e6053afe726c91eb0b7fd151f483c1cc753b7c522a
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