Instructions to use timm/ViT-B-16-SigLIP2-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-B-16-SigLIP2-256 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-B-16-SigLIP2-256') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-B-16-SigLIP2-256') - Notebooks
- Google Colab
- Kaggle
Download open_clip_model.safetensors from timm/ViT-B-16-SigLIP2-256: direct link, hf CLI and curl.
- Browser
- Download file 1.5 GB
-
https://huggingface.co/timm/ViT-B-16-SigLIP2-256/resolve/main/open_clip_model.safetensors
- Command line
-
hf download hf://timm/ViT-B-16-SigLIP2-256/open_clip_model.safetensors
-
curl -L -o open_clip_model.safetensors https://huggingface.co/timm/ViT-B-16-SigLIP2-256/resolve/main/open_clip_model.safetensors
1.5 GB
- Xet hash:
- cfa4f0b4b2e0b8d57905801cb51c4fbc1bb0aa2d42a374fc40320014e14adf6f
- Size of remote file:
- 1.5 GB
- SHA256:
- 97816a02002b8b0c41cb507e2cc250eb39ef4ea2a63d1b6e44490a2039cfcdda
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