Instructions to use timm/ViT-L-16-SigLIP-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-L-16-SigLIP-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-L-16-SigLIP-384') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-L-16-SigLIP-384') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2bcf2e8c705d2d058814eff3de72c076c03bd67780450a5c752228ed0727efe4
- Size of remote file:
- 2.61 GB
- SHA256:
- 0e5943977fd1c6048c056921cc34da37aa0374a8f56ad3b1e111be6ea90aea8d
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