recision = "fp16"  # `no` for float32, `fp16` for automatic mixed precision
...     output_dir = "ddpm-butterflies-128"  # the model name locally and on the HF Hub

...     push_to_hub = True  # whether to upload the saved model to the HF Hub
...     hub_private_repo = False
...     overwrite_output_dir = True  # overwrite the old model when re-running the notebook
...     seed = 0


>>> config = TrainingConfig()

Load the dataset
	
You can eas