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)# pip install -U transformers accelerate # 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
Download tokenizer.json from tkhangg0910/viconbert-base: direct link, hf CLI and curl.
- Browser
- Download file 3.13 MB
-
https://huggingface.co/tkhangg0910/viconbert-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://tkhangg0910/viconbert-base/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/tkhangg0910/viconbert-base/resolve/main/tokenizer.json
3.13 MB
File too large to display, you can check the raw version instead.