ONNX
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About
ONNX (Open Neural Network Exchange) is an open format designed to represent machine learning models, promoting interoperability between different frameworks, tools, and runtimes. It provides a common set of operators and a file format to enable AI developers to use models across various platforms. Key benefits include interoperability, hardware access, and community support. It allows developers to use preferred frameworks without downstream inferencing implications and access hardware optimizations. The project is supported by a community of partners and encourages contributions.
Platform
Task
Features
• community-driven development
• open standard for machine learning interoperability
• hardware access optimizations
• interoperability across frameworks
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