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