Model training and development is done using docker on AWS EC2
- train.py contains the training script
- MLproject contains the packaging of the project as an MLflow project so it can run on AWS
- HuggingFace
- MLflow
- PyTorch
- Docker
-
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Managing the lifecycle of an Automatic Speech Recognition model using MLFlow
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