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:
- e11460fba543ac93cb19bc9bbe4b591d6f4a71543a3e8757ebc2962fe1dabd92
- Size of remote file:
- 399 MB
- SHA256:
- 62d032b8223fecf01de3b135431e7fcaa06c2465c4c58b78104b7540afd64bb9
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