How can I optimize the performance of ONNX.js models?
To optimize ONNX.js models, consider techniques like model quantization, reducing input size, and using WebAssembly.
What is model quantization and how does it help?
Model quantization reduces the precision of the numbers used in the model, which can decrease size and improve speed.
Are there specific tools for quantizing ONNX models?
Yes, tools like ONNX Runtime and TensorRT can help with quantization and optimizing ONNX models for performance.
How can I measure the performance improvements after tuning?
You can measure performance improvements by comparing inference times and resource usage before and after tuning.
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