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16:49
YouTube
Deep knowledge
Boost Your AI Models with INT8 Quantization 🚀 ONNX Static vs Dynamic + Python & C++ Speed Test
Are your deep learning models running slow and eating up too much memory? 🤯 You’re not alone. Most AI models are trained in FP32 (float32) — they’re accurate, but heavy and not always practical for real-world deployment. In this tutorial, I’ll walk you through ONNX INT8 static quantization with calibration images, step by step. You ...
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