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blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda/README.md

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This example illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda.
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For both supervised (text classification) and unsupervised (Word2Vec) modes, the binaries (*.bin) produced by BlazingText can be cross-consumed by fastText and vice versa. You can use binaries produced by BlazingText by fastText. Likewise, you can host the model binaries created with fastText using BlazingText.
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This project contains source code and supporting files for a serverless application that you can deploy with the notebook. It includes the following files and folders.
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- blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda.ipynb - Notebook to run training with SageMaker, and deploy the Lambda function.

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