import torch checkpoint = torch.load("vox-cpk.pth.tar", map_location="cpu")
The filename itself provides technical details about the model's training and structure: vox-cpk.pth.tar
: These are PyTorch model checkpoint files. They contain the model's weights and possibly other information like the optimizer state, learning rate scheduler state, and even the random seed used during training, depending on how the checkpoint was saved. import torch checkpoint = torch