You are working on developing machine learning models to classify customer support emails. Initially, you created these models using TensorFlow Estimators and small datasets on your on-premises system. To achieve higher performance, you now need to train the models with much larger datasets. You plan to migrate your models to Google Cloud for this purpose. Your goal is to minimize both code refactoring and infrastructure overhead during this migration process. Which approach should you choose to facilitate this migration effectively?