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References</description>
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	* Basics
	* MMPretrain
	* TIMM</description>
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Tutorials

Google Colaboratory - Image Classification with Pretrained ResNet18 on Version 1.2.0

&lt;https://colab.research.google.com/drive/1igoW8ryWYXDkcAExicaciFvHHFbscHDa&gt;

Google Colaboratory - Custom Dataset Training with ResNet18 on Version 1.2.0

&lt;https://colab.research.google.com/drive/1RkrPGyAcS0c6CH3eC07EKKwYrzm7ovlX&gt;

Custom Dataset




Getting Started

See MMDetection also for tricks and traps</description>
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Getting Started

Install
pip install timm
Loading Model
import timm
import torch## Model List
list_models = timm.list_models(pretrained=True)## Create Model
model = timm.create_model(&#039;resnet50&#039;, pretrained=True)
model.eval()
References

&lt;https://github.com/huggingface/pytorch-image-models&gt;</description>
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