Instructions to use DLRookie/resnet18-random-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use DLRookie/resnet18-random-classifier with timm:
import timm model = timm.create_model("hf-hub:DLRookie/resnet18-random-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from DLRookie/resnet18-random-classifier: direct link, hf CLI and curl.
- Browser
- Download file 114 Bytes
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https://huggingface.co/DLRookie/resnet18-random-classifier/resolve/main/README.md
- Command line
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hf download hf://DLRookie/resnet18-random-classifier/README.md
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curl -L -o README.md https://huggingface.co/DLRookie/resnet18-random-classifier/resolve/main/README.md
114 Bytes
metadata
tags:
- image-classification
- timm
library_tag: timm