Instructions to use trongg/1590473b-0dee-4962-8c83-e8a23918458f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trongg/1590473b-0dee-4962-8c83-e8a23918458f with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trongg/1590473b-0dee-4962-8c83-e8a23918458f", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from trongg/1590473b-0dee-4962-8c83-e8a23918458f: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/trongg/1590473b-0dee-4962-8c83-e8a23918458f/resolve/main/tokenizer.json
- Command line
-
hf download hf://trongg/1590473b-0dee-4962-8c83-e8a23918458f/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/trongg/1590473b-0dee-4962-8c83-e8a23918458f/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 025bacd8ec45996d7993c38d5a926928af479960f134d3dea09aca98b1e6a05b
- Size of remote file:
- 17.2 MB
- SHA256:
- b9f2ccaf7be76cfc1b402896454bc2d4d7ac109afb0127f26e19fe2a6aa4e052
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