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home / developersection / interviews / what is onnx, and how can it be integrated into .net applications?
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Ravi Vishwakarma
Ravi Vishwakarma

IT-Hardware & Networking

Ravi Vishwakarma is a dedicated Software Developer with a passion for crafting efficient and innovative solutions. With a keen eye for detail and years of experience, he excels in developing robust software systems that meet client needs. His expertise spans across multiple programming languages and technologies, making him a valuable asset in any software development project.

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1 Answers

Ravi Vishwakarma
Ravi Vishwakarma 20 May 2026
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ONNX is an open standard for machine learning models that allows models trained in frameworks like PyTorch or TensorFlow to run across different platforms and languages.

In .NET, ONNX is commonly integrated using Microsoft.ML.OnnxRuntime or ML.NET.

Basic steps:

  • Train/export model as .onnx
  • Add ONNX Runtime NuGet package
  • Load model in C#
  • Run inference (predictions)

Example:

// Import ONNX namespaces
using Microsoft.ML.OnnxRuntime;
using Microsoft.ML.OnnxRuntime.Tensors;

// Load ONNX model
using var session = new InferenceSession("model.onnx");

// Create input tensor
var tensor = new DenseTensor<float>(new float[] { 1, 2, 3 }, new[] { 1, 3 });

// Run prediction
var inputs = new List<NamedOnnxValue>
{
    NamedOnnxValue.CreateFromTensor("input", tensor)
};

var results = session.Run(inputs);

Official docs:

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