Instructions to use timm/ViT-B-16-SigLIP-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-B-16-SigLIP-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-B-16-SigLIP-384') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-B-16-SigLIP-384') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a8e15690f9d531bc316f83cb28d71134b0fd9d85063de93075924beaaeba375
- Size of remote file:
- 814 MB
- SHA256:
- f140494328dd98417dc82459fc28ddd3eb95481ba477770c8f7b1ca3df3b041f
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