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
Add task and publication links
Browse files
README.md
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The file contains EMA weights and public architecture metadata only.
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```bash
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python validate.py /path/to/imagenet/val \
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```
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The file contains EMA weights and public architecture metadata only. Run validation from the cloned ProgResViT repository:
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```bash
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python validate.py /path/to/imagenet/val \
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