Model → Save

Model Save exports a trained machine learning model to a file on disk so it can be loaded and reused later. It serializes the model state, preserving all learned parameters and configurations.

This eliminates the need to retrain the model every time you want to make predictions.

Save your model after training is complete and you are satisfied with its performance. The saved file contains everything needed to make predictions you do not need to save the training data separately.