Instructions to use timm/ViT-B-16-SigLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-B-16-SigLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-B-16-SigLIP') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-B-16-SigLIP') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5150c9e93519e2aaeeb4e5c08208b00ab69064e5580a299ea64161ecda2b5e1d
- Size of remote file:
- 813 MB
- SHA256:
- a604948f7bb8788e4652f6ec7b7bd792dd63f55f849fa3e5fbf8b462353b9934
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