Instructions to use timm/ViT-L-16-SigLIP2-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-L-16-SigLIP2-512 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-L-16-SigLIP2-512') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-L-16-SigLIP2-512') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58fd85fabbae5fa67aba9a75d95e223ba8c86b8cae1fc1f09bc838805bb4fc26
- Size of remote file:
- 3.53 GB
- SHA256:
- b6d2de2c26a06aed4a770af9ff4dfb56e44f914d5d9246fe230c02662514474f
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