Instructions to use UCSC-VLAA/ViT-H-14-CLIPA-336-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-336-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-336-datacomp1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-H-14-CLIPA-336-datacomp1B') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2be89e515dcc9a78367d4827da7b81893c9ccfd7a327ba8f09c57ba5ccaa9948
- Size of remote file:
- 3.87 GB
- SHA256:
- dcfc8340e841d3a0436c370466472cddeb69e2e60d9a7d1180c6f56a92397e67
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