This project demonstrates the use of Olive to optimize an AI model for specific hardware, utilizing the Whisper Tiny English version as a case study. The optimized model is then deployed to the device and using ONNX Runtime we can execute both local and cloud-based inference.
Before beginning, ensure that you have the following:
- Download Whisper-Tiny-Model from here
- Follow the Olive tutorial for optimization here
- Get an OpenAI key to be able to test the cloud inference if there is cloud connectivity.
Clone the repository to your local machine with:
git clone https://github.com/onnxruntime/Whisper-HybridLoop-Onnx-Demo.git
For detailed instructions on how to optimize the Whisper model for specific hardware using the Olive engine and Follows, please see our detailed Tutorial on Model Optimization.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
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