Pipeline for training and deploying a Speech Recognition Model using MLflow

Model training and development is done using docker on AWS EC2

Project Structure

• train.py contains the training script
• MLproject contains the packaging of the project as an MLflow project so it can run on AWS

Tools and Frameworks

• HuggingFace
• MLflow
• PyTorch
• Docker