Instructions to use thoddnn/siglip2-base-patch16-224-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use thoddnn/siglip2-base-patch16-224-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download thoddnn/siglip2-base-patch16-224-8bit --local-dir siglip2-base-patch16-224-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from thoddnn/siglip2-base-patch16-224-8bit: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/thoddnn/siglip2-base-patch16-224-8bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://thoddnn/siglip2-base-patch16-224-8bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/thoddnn/siglip2-base-patch16-224-8bit/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- 1cc2031661080cf926791605d802fb2fdeee15e0fffb5d76c860749ca16b678f
- Size of remote file:
- 34.4 MB
- SHA256:
- cb9140fae3ac5122c972d37adf83e1248471a38147ad76f8215c8872c6fd8322
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