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A company wants to ensure that all its employees are present with the recent face verification technology. The hired a machine learning specialist and handed her the task along with the dataset. The dataset contains different faces of employees, and the goal is to create a model to verify employees in the future. She started coding a python script to train on the TensorFlow framework with basic configurations. However, she wants to try the model locally first to ensure that everything is working fine before initiating powerful instances for training. What is the most time saving scenario for the specialist to train her model?