Instructions to use UCSC-VLAA/openvision-vit-tiny-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-tiny-patch16-224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision-vit-tiny-patch16-224') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision-vit-tiny-patch16-224') - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| library_name: open_clip | |
| pipeline_tag: image-feature-extraction | |
| This repository contains the model described in [OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning](https://huggingface.co/papers/2505.04601). | |
| Project page: https://ucsc-vlaa.github.io/OpenVision | |
| Code: https://github.com/UCSC-VLAA/OpenVision |