Instructions to use nateraw/resnet18-random-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nateraw/resnet18-random-classifier with timm:
import timm model = timm.create_model("hf-hub:nateraw/resnet18-random-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nateraw/resnet18-random-classifier: direct link, hf CLI and curl.
- Browser
- Download file 44.8 MB
-
https://huggingface.co/nateraw/resnet18-random-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nateraw/resnet18-random-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nateraw/resnet18-random-classifier/resolve/main/pytorch_model.bin
44.8 MB
- Xet hash:
- a07d7d076fdfe6a95a7ba12ea0e199123c276b0a1fd74b499dadb417213ec873
- Size of remote file:
- 44.8 MB
- SHA256:
- 634b34551b01f208874df6010ad5bd25c73b4cdc2403180084b3f2da50138e00
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