As you develop models to classify customer support emails, you initially created TensorFlow Estimator models using small datasets on your local system. To enhance performance, you now plan to train these models with larger datasets. For a seamless transition of your models from on-premises to Google Cloud, with minimal code refactoring and infrastructure overhead, what approach should you take?