CALCULATE YOUR SIP RETURNSvox-cpk.pth.tar

Vox-cpk.pth.tar

# Example input (this will vary widely) dummy_input = torch.randn(1, 3, 224, 224) # Example for a 3-channel 224x224 image

import torch import torch.nn as nn

# Load the model model = torch.load('vox-cpk.pth.tar', map_location=torch.device('cpu')) vox-cpk.pth.tar

# Example input (this will vary widely) dummy_input = torch.randn(1, 3, 224, 224) # Example for a 3-channel 224x224 image

import torch import torch.nn as nn

# Load the model model = torch.load('vox-cpk.pth.tar', map_location=torch.device('cpu'))

vox-cpk.pth.tar
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