Instructions to use UCSC-VLAA/openvision-vit-small-patch8-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision-vit-small-patch8-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-small-patch8-384') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-small-patch8-384') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea02587f6969668e2cd11fbe4fb0b451a20b88255bf3ec718a1f6e2b26d5a741
- Size of remote file:
- 225 MB
- SHA256:
- a3741be3a475bd812e2679df3f3409aba1a77a605d5efd24843e41e4a918216a
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