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
File size: 135 Bytes
b6493f3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a2d6ada92585c003968baa24aa104c92a66fae6c2feb87f23ed7c64da4715dae
size 2684799290
|