The models nowadays are becoming larger, especially language models. Search engines need to provide real-time results, and models on mobile devices have limited memory and computational power, requiring model lightweighting. ONNX, developed by Microsoft, is a cross-platform machine learning framework that can convert models from various frameworks (such as PyTorch, TensorFlow, etc.) into the ONNX format and perform lightweighting. This article takes a PyTorch model as an example, using ONNX to…