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3 | 3 | This example illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda. |
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| 5 | +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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5 | 7 | 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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7 | 9 | - 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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