ONNX (Open Neural Network Exchange) acts as a universal format for neural network models, similar to how PDF works for documents. Models trained in PyTorch or TensorFlow can be exported to ONNX format and run using the ONNX runtime without needing the original framework as a dependency. The tutorial walks through exporting a simple PyTorch model, a TensorFlow model, a real MNIST digit classifier, and downloading a pre-quantized Hugging Face model in ONNX format — all using the same inference code via onnxruntime and onnxruntime-genai.

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