How do I load a pre-trained model in PyTorch?
You can load a pre-trained model in PyTorch using the torch.load()
function. Do you have a specific model in mind?
Yes, I want to load a ResNet model.
You can use torchvision.models.resnet50(pretrained=True)
to load a pre-trained ResNet-50 model. Would you like to know how to use it for inference?
Yes, please explain how to use it for inference.
After loading the model, you can set it to evaluation mode with model.eval()
, then pass your input tensor to it to get predictions.
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