how to use utils.save_checkpoint

To use utils.save_checkpoint, you simply need to pass in the parameters for the model, optimizer, and any additional information you would like to save, such as the current epoch or batch number. This will create a file that saves the state of the model, optimizer, and other information that you can use later for resuming training or inference.