# Use the loaded model for speaker verification Keep in mind that you'll need to define the model architecture and related functions (e.g., forward() method) to use the loaded model.
# Load the checkpoint file checkpoint = torch.load('Vox-adv-cpk.pth.tar') Vox-adv-cpk.pth.tar
# Initialize the model and load the checkpoint weights model = VoxAdvModel() model.load_state_dict(checkpoint['state_dict']) # Use the loaded model for speaker verification