After you train a STT model, your model will be stored on disk as a :ref:`checkpoint file <checkpointing>`. Model checkpoints are useful for resuming training at a later date, but they are not the correct format for deploying a model into production. The model format for deployment is a TFLite file.
This document explains how to export model checkpoints as a TFLite file.
You can export STT model checkpoints for deployment by using the export script and the --export_dir flag.
$ python3 -m coqui_stt_training.export \
--checkpoint_dir path/to/existing/model/checkpoints \
--export_dir where/to/export/model