what is the difference between using a hugging face estimator with training script and directly using a notebook in AWS sagemaker?

Question

in tutorials like Fine-tuning a pytorch bert model and deploying it with sagemaker and fine-tune and host huggingface models on sagemaker, a hugging face estimator is used to call a training script. What would be the difference if I just directly ran the script's code in the notebook itself? is it because the estimator makes it easier to deploy the model?