Instructions to use UCSC-VLAA/ViT-L-14-CLIPA-datacomp1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use UCSC-VLAA/ViT-L-14-CLIPA-datacomp1B with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/ViT-L-14-CLIPA-datacomp1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-L-14-CLIPA-datacomp1B') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0838f0dc3bd05da0486058a83f71dd104a5c63decbf3d15fc75fac9d314513af
- Size of remote file:
- 1.66 GB
- SHA256:
- afdcba7ee810950f2b08c7d0114cc4864e0dbb3350a008fd5f2917ceab998e3f
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