Instructions to use UCSC-VLAA/ViT-H-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-H-14-CLIPA-datacomp1B with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:UCSC-VLAA/ViT-H-14-CLIPA-datacomp1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-H-14-CLIPA-datacomp1B') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af7285a67e6cf84c0f8dde8ac1004457b1c6c70dc2fa3d21896d36422c939920
- Size of remote file:
- 3.87 GB
- SHA256:
- 0af7f7d05e15ff450843e049554b27620d7c036dd3f9a268600ffd2c6bf6c6df
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