scripts/train.py

"""Training entry point placeholder.

The executed training workflow currently lives in:
notebook/indian-food-image-detection-vit.ipynb

Use configs/train_config.yaml as the source of truth when converting the notebook workflow
into a fully scriptable training pipeline.
"""


def main() -> None:
    print("Training workflow is documented in notebook/indian-food-image-detection-vit.ipynb")
    print("Training configuration is stored in configs/train_config.yaml")


if __name__ == "__main__":
    main()