Instructions to use JennyFern/resnet18-random-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use JennyFern/resnet18-random-classifier with timm:
import timm model = timm.create_model("hf-hub:JennyFern/resnet18-random-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from JennyFern/resnet18-random-classifier: direct link, hf CLI and curl.
- Browser
- Download file 44.8 MB
-
https://huggingface.co/JennyFern/resnet18-random-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://JennyFern/resnet18-random-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/JennyFern/resnet18-random-classifier/resolve/main/pytorch_model.bin
44.8 MB
- Xet hash:
- f1b4c155a1b7fe91bd6189169ccc4b88fe4f077cf4a05b2fd8525ba0a123bff9
- Size of remote file:
- 44.8 MB
- SHA256:
- f9e76a405a5e656a231c2583b8ceb5eadd44cfe5bc6a4e1952077e7bb5b35c51
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