Instructions to use timm/PE-Core-L-14-336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/PE-Core-L-14-336 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/PE-Core-L-14-336') tokenizer = open_clip.get_tokenizer('hf-hub:timm/PE-Core-L-14-336') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0864985110fbc9f65f33da2a680da9c4ee459b5d8ba16ffe0cc40e220167e8f
- Size of remote file:
- 2.68 GB
- SHA256:
- a2d6ada92585c003968baa24aa104c92a66fae6c2feb87f23ed7c64da4715dae
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