Instructions to use timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m') tokenizer = open_clip.get_tokenizer('hf-hub:timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m/resolve/main/tokenizer.json
- Command line
-
hf download hf://timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/timm/vit_medium_patch16_clip_224.tinyclip_yfcc15m/resolve/main/tokenizer.json
2.22 MB
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