model.load_state_dict

()This method is used to load the state dictionary of a PyTorch model from a previously saved checkpoint. The state dictionary represents the current state of the model's parameters and optimizer.

To use this method, one must have a saved checkpoint file containing the state dictionary. This file can be loaded using the `torch.load()` method. Once loaded, the state dictionary can be passed to the `load_state_dict()` method to update the model's parameters.

Here is an example of loading a saved checkpoint file and updating the model's state dictionary:

checkpoint = torch.load('checkpoint.pth')
model.load_state_dict(checkpoint['state_dict'])

In this example, the saved checkpoint file is loaded using `torch.load()` and the state dictionary is extracted using the key `state_dict`. This state dictionary is then passed to the `load_state_dict()` method to update the model's parameters.