Instructions to use 1999xia/ViT_Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1999xia/ViT_Fast with timm:
import timm model = timm.create_model("hf_hub:1999xia/ViT_Fast", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f03a6aa89a97f711781db9d042d97f7814f1cbc9a72e4ca6435c87ff2b93837
- Size of remote file:
- 344 MB
- SHA256:
- 06a2217491a3f4460eb82b1da2f6dc409df700da1787ab6b500602bff7e0a2bd
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