Instructions to use UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-L-14-CLIPS-Recap-DataComp-1B') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a9820f3d536a4e0bc7e73ba8d401fac211c99578346283a0993e952126135ac
- Size of remote file:
- 1.66 GB
- SHA256:
- 7b8115d86ddd51d89c2f6473b398be769c0c4c75d65b846dfb779fa1d0ae1ed0
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