Onnx Runtime: “Cross-Platform Accelerated Machine Learning”

The web content showcases different ways to load and use ONNX models for inference using various programming languages and libraries. Each example demonstrates the steps to load the model, preprocess the input image, run the inference, and print the outputs. The code snippets highlight different approaches and syntax for achieving the same goal. They include the use of libraries such as onnxruntime, ai.onnxruntime, onnxruntime-web, onnxruntime_cxx_api, and Microsoft.ML.OnnxRuntime. Each snippet provides the necessary code to perform the inference task, with output printing and logging included. The content does not contain any controversial information and does not include any surprising or unique content.

https://onnxruntime.ai/

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