Instructions to use timm/PE-Core-T-16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/PE-Core-T-16-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/PE-Core-T-16-384') tokenizer = open_clip.get_tokenizer('hf-hub:timm/PE-Core-T-16-384') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83fb8c4835a4f7e34567977d0c7353029bd3abb7afafc4e77e68df203b30ed77
- Size of remote file:
- 278 MB
- SHA256:
- bc1f372aff20130bdf23254140f4af3756b5f8e67062e85ce3194b287ff14430
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