aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
This project helps machine learning engineers and data scientists deploy FastAI deep learning models for real-time inference. It takes a pre-trained FastAI model and prepares it for efficient, scalable deployment using TorchServe and Amazon SageMaker endpoints. The output is a robust, managed inference service ready to process predictions.
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Use this if you have a trained FastAI computer vision model and need to serve predictions at scale without managing complex infrastructure yourself.
Not ideal if you are only experimenting with FastAI models and do not need to deploy them to a production-ready, scalable environment.
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Jun 19, 2021
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