python-pytorchHow do I load a PyTorch model using Python?

To load a PyTorch model using Python, you will need to first import the necessary libraries. This includes torch and torch.nn:

import torch
import torch.nn as nn

Next, you need to define the model class with the same architecture as the model you are trying to load. This should include the same layers, activation functions, and other parameters as the model you are loading.

Then, you can use the torch.load() function to load the model parameters from a file. This will return a dictionary containing the model parameters, which you can then assign to the model class you defined earlier:

model = MyModel()
model.load_state_dict(torch.load('model.pt'))

Finally, you can use the model.eval() method to set the model to evaluation mode. This will ensure that the model behaves as expected when you use it for inference:

model.eval()

The following parts are included in the code above:

• import torch and import torch.nn as nn: imports the necessary libraries
• model = MyModel(): defines the model class with the same architecture as the model you are trying to load
• model.load_state_dict(torch.load('model.pt')): loads the model parameters from a file
• model.eval(): sets the model to evaluation mode

Helpful links

• PyTorch Documentation - Loading and Saving Models
• PyTorch Documentation - torch.load
• PyTorch Documentation - torch.nn.Module.load_state_dict
• PyTorch Documentation - torch.nn.Module.eval

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