Instructions to use timm/ViT-SO400M-16-SigLIP2-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/ViT-SO400M-16-SigLIP2-256 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/ViT-SO400M-16-SigLIP2-256') tokenizer = open_clip.get_tokenizer('hf-hub:timm/ViT-SO400M-16-SigLIP2-256') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from timm/ViT-SO400M-16-SigLIP2-256: direct link, hf CLI and curl.
- Browser
- Download file 4.54 GB
-
https://huggingface.co/timm/ViT-SO400M-16-SigLIP2-256/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://timm/ViT-SO400M-16-SigLIP2-256/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/timm/ViT-SO400M-16-SigLIP2-256/resolve/main/open_clip_pytorch_model.bin
4.54 GB
- Xet hash:
- 2268c9559e9c30516dfe10128708ecfb3221fe29dc88c7f4ea9b10bc991b89bc
- Size of remote file:
- 4.54 GB
- SHA256:
- 3cdf5198d66b36d338779425ea34a54916caa50915f81a0f1a1e67d74c9dcc46
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