Instructions to use timm/PE-Core-B-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/PE-Core-B-16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/PE-Core-B-16') tokenizer = open_clip.get_tokenizer('hf-hub:timm/PE-Core-B-16') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf768dfa12767d0fa10b5dc50b16972ef7344946e5e898f8ef61de71c2524dab
- Size of remote file:
- 1.79 GB
- SHA256:
- 1458d7dcff115e4eb468856c40524f2021bc5ee2944e9a09d0ac4a94f22653b5
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