Instructions to use NCPS/progresvit-deit-s-192-240-imagenet1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use NCPS/progresvit-deit-s-192-240-imagenet1k with timm:
import timm model = timm.create_model("hf_hub:NCPS/progresvit-deit-s-192-240-imagenet1k", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 453b464b1dfebc55dcd7747749f830aa6ce7080c601ebf059b8b755f1658eeda
- Size of remote file:
- 99 MB
- SHA256:
- ac2424b4075474c62e814fecf32c571b86636721df59bdf1a24fd2631c9cfa7e
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