Instructions to use nateraw/resnet18-random-classifier-123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nateraw/resnet18-random-classifier-123 with timm:
import timm model = timm.create_model("hf_hub:nateraw/resnet18-random-classifier-123", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac6ac2b1eaed7b9c9ef7f86faf2eadf50772b60a6cf261d5dd5a66ed5330b13b
- Size of remote file:
- 44.8 MB
- SHA256:
- b8f40d00d0ed6bcd0efd907ae55f4acc8eebc514f82f9dd06cd7588de4028e4c
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