To get started, install Poetry then run poetry install in the project directory to install the dependencies.
poetry run visualize-training-example can be run to visualize and listen to samples from the model's output.
python run acte/transmogrifier/train_model.py can be run to train the model.
The script expects the maestro-V3.0.0 dataset to be unzipped within a directory called data/maestro. Also, place the maestro-v3.0.0.json file within this directory.