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README.md
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@@ -34,6 +34,7 @@ This model is a small resnet18 trained on cifar100. It achieves the following re
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Use the code below to get started with the model.
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```python
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import timm
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model = timm.create_model("resnet18_cifar100", pretrained=True)
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```
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Testing data is cifar100.
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### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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Accuracy
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## Results
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Accuracy is 0.7843.
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Use the code below to get started with the model.
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```python
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import detectors
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import timm
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model = timm.create_model("resnet18_cifar100", pretrained=True)
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```
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Testing data is cifar100.
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## Results
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Accuracy is 0.7843.
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