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:
- ba6cb73dec15e5c2d9d9f0a6c461c76d23e45f3b06366d35653ddd96f36a2951
- Size of remote file:
- 99 MB
- SHA256:
- fab254d778b2c47b2fb6909169205564f7696336f86e3db21309f880fb25617f
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