Instructions to use danielshinsony/resnet18-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use danielshinsony/resnet18-random with timm:
import timm model = timm.create_model("hf_hub:danielshinsony/resnet18-random", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04c0e9b6781974be456a53b5e882fb4e19b7c2424a0d64aabf729a6f5d02fc56
- Size of remote file:
- 44.8 MB
- SHA256:
- 928afb06f1ef8977a7a23b718526d1a85d86a1c214f1755b8d1085063e93a38f
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