saving loading torch models
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Saving and Loading Model Weights PyTorch models store the learned parameters in an internal state dictionary, called ``state_dict``. These can be persisted via the ``torch.save`` method: model = models.vgg16(weights='IMAGENET1K_V1') torch.save(model.state_dict(), 'model_weights.pth') To load model weights, you need to create an instance of the same model first, and then load the parameters using ``load_state_dict()`` method.
Tasks: Deep Learning Fundamentals
Task Categories: Deep Learning Fundamentals
Published: 10/06/23
Tags
saving and loading
pytorch
beginner friendly
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