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:
- 51a4dfc86e8638db18864feef908c329f138072fa91998e8e58a7332fb714502
- Size of remote file:
- 399 MB
- SHA256:
- d76a9ff1fa0f75c796f1f4848a62ab83cb32593a2fb187a8103938380976e6a5
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