Instructions to use timm/ViT-L-16-SigLIP2-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-L-16-SigLIP2-256 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-L-16-SigLIP2-256') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-L-16-SigLIP2-256') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f16848ad2802a5347f8a3d5c9fc331328a3780df9bf1e217969c7c81e360bfc1
- Size of remote file:
- 3.53 GB
- SHA256:
- 289e10db9050a9990bac0ecb229c1b4c516b9a2efb37acf3fdcb1002634b7718
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