Description
The Open Neural Network Exchange (ONNX) format has emerged as a crucial solution for the challenge of deploying machine learning models across different frameworks and platforms. As organizations increasingly need to deploy models trained in one framework to production environments running different frameworks, ONNX provides a standardized intermediate representation that enables seamless interoperability.
By converting models to ONNX format, organizations can bridge the gap between various deep learning frameworks like PyTorch, TensorFlow, and scikit-learn, while also optimizing model performance for different hardware targets. Here is a framework for leveraging ONNX in your ML deployment pipeline to achieve true cross-platform compatibility.
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