Instructions to use UCSC-VLAA/ViT-L-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-L-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-L-14-CLIPA-336-datacomp1B') tokenizer = open_clip.get_tokenizer('hf-hub:UCSC-VLAA/ViT-L-14-CLIPA-336-datacomp1B') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f09075745dfdc6982b8f9ce510dab6c4595582d236eac26d5d6fc6cefb9147c9
- Size of remote file:
- 1.66 GB
- SHA256:
- 4e68f11aebceec014567e19a4438ff3cfb199c4e0e20abaa0ec77d3ac401af17
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