Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint
Machine Learning Blog
This article provides a step-by-step guide on deploying a Hugging Face PyAnnote speaker diarization model on Amazon SageMaker as an asynchronous endpoint.
Specifically, the article covers:
- Solution overview and prerequisites
- Creating a model function to access the PyAnnote speaker diarization model from Hugging Face
- Packaging the model code and configuring a SageMaker model
- Uploading the model to Amazon S3
- Creating and testing a SageMaker asynchronous endpoint
- Examining the results and benefits of using an asynchronous endpoint
- Cleaning up resources and setting auto-scaling policies
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