Instructions to use UCSC-VLAA/openvision3-vit-base-patch2-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/openvision3-vit-base-patch2-32 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/openvision3-vit-base-patch2-32') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/openvision3-vit-base-patch2-32') - Notebooks
- Google Colab
- Kaggle
Add model card for OpenVision 3
#1
by nielsr HF Staff - opened
This PR adds a model card for OpenVision 3, a family of unified visual encoders designed for both image understanding and generation.
The card includes:
- Metadata for
pipeline_tag,library_name(open_clip), andlicense. - A brief description of the architecture and training objectives.
- Links to the paper, project page, and GitHub repository.
- A sample usage code snippet based on the official documentation.
- Citation information.