Instructions to use UCSC-VLAA/openvision-vit-tiny-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-tiny-patch16-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-tiny-patch16-384') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-tiny-patch16-384') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from UCSC-VLAA/openvision-vit-tiny-patch16-384: direct link, hf CLI and curl.
- Browser
- Download file 68.8 MB
-
https://huggingface.co/UCSC-VLAA/openvision-vit-tiny-patch16-384/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://UCSC-VLAA/openvision-vit-tiny-patch16-384/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/UCSC-VLAA/openvision-vit-tiny-patch16-384/resolve/main/open_clip_pytorch_model.bin
68.8 MB
- Xet hash:
- 2d5b20a18bcfb095b09fdc3cd8d4d259bc9e28ac9d635cedbbcc3da20e836a20
- Size of remote file:
- 68.8 MB
- SHA256:
- 79c9596197e2d753509d37d5b65710c618e5fb8ae678f17961ff4a71bc0bc945
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