Vox-adv-cpk.pth.tar
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Vox-adv-cpk.pth.tar Direct

import torch import torch.nn as nn

# Initialize the model and load the checkpoint weights model = VoxAdvModel() model.load_state_dict(checkpoint['state_dict']) Vox-adv-cpk.pth.tar

# Load the checkpoint file checkpoint = torch.load('Vox-adv-cpk.pth.tar') import torch import torch

# Define the model architecture (e.g., based on the ResNet-voxceleb architecture) class VoxAdvModel(nn.Module): def __init__(self): super(VoxAdvModel, self).__init__() # Define the layers... self).__init__() # Define the layers...

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