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
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Verified signatureThis PR adds a model card for the paper [OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning](https://huggingface.co/papers/2505.04601).d0a04f5
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