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:
- f68ce70120116b53ae9fc486befc6ac4918d1a153de2d644960db8d9e58de401
- Size of remote file:
- 1.19 MB
- SHA256:
- c11a2380aaaed3309530416aca02520726841c17a15abaeda8e209aa43eebee3
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