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:
- 69309a769c279ade8cb0f3a4462498f9101a301bee9e6314e6959ae14bd1e5a6
- Size of remote file:
- 4.14 MB
- SHA256:
- bbc5485d246595699cbf6500a8f9fed36f61f0627e9ee1e9686d1257f2c71cea
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