Instructions to use timm/MobileCLIP2-S4-OpenCLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/MobileCLIP2-S4-OpenCLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/MobileCLIP2-S4-OpenCLIP') tokenizer = open_clip.get_tokenizer('hf-hub:timm/MobileCLIP2-S4-OpenCLIP') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from timm/MobileCLIP2-S4-OpenCLIP: direct link, hf CLI and curl.
- Browser
- Download file 1.78 GB
-
https://huggingface.co/timm/MobileCLIP2-S4-OpenCLIP/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://timm/MobileCLIP2-S4-OpenCLIP/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/timm/MobileCLIP2-S4-OpenCLIP/resolve/main/open_clip_pytorch_model.bin
1.78 GB
- Xet hash:
- 20f0ee194a8b75b3ee585a22bceb7d7a508124317b4b6357b94debbd6bc06a2c
- Size of remote file:
- 1.78 GB
- SHA256:
- f25c203a6c982e91e6f55da0427cc736594ea701e5afd62049cdae8d48223af2
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