Feature Extraction
Transformers
PyTorch
Vietnamese
viconbert
bert
wsd
vietnamese
semantic_similarity
custom_code
Instructions to use tkhangg0910/viconbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkhangg0910/viconbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tkhangg0910/viconbert-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tkhangg0910/viconbert-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 009d8ce11f9f2f0979a6090d92a2c285b0df7cfcb961bb96425e835ca18563c4
- Size of remote file:
- 1.12 GB
- SHA256:
- a5b63e158f11ea10dcac42c00968fc9d028c8800626b6c4b2847a8b46a61123d
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