Instructions to use UCSC-VLAA/openvision-vit-small-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-small-patch16-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-small-patch16-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-small-patch16-224') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9116420b56ed1165de5a312412873c4da5e3325db3b2a28ba159411eb3c8de48
- Size of remote file:
- 222 MB
- SHA256:
- e5c32d10c1c670967cf9708a5d0e5320d2a167062f45f6f37bfe242cca42c310
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