ONNX is an open format built to represent machine learning
models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.
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KEY BENEFITS
Interoperability
Develop in your preferred framework without worrying about downstream inferencing implications. ONNX enables you to use your preferred framework with your chosen inference engine.
Our active community thrives under our open governance structure, which provides transparency and inclusion. We encourage you to engage and contribute.
