---
title: "What is ONNX, and how can it be integrated into .NET applications?"  
description: "What is ONNX, and how can it be integrated into .NET applications?"  
author: "ICSM Computer"  
published: 2026-05-20  
updated: 2026-05-20  
canonical: https://www.mindstick.com/interview/34516/what-is-onnx-and-how-can-it-be-integrated-into-dot-net-applications  
category: "artificial intelligence"  
tags: ["artificial intelligence"]  
reading_time: 2 minutes  

---

# What is ONNX, and how can it be integrated into .NET applications?

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:

```cs
// 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:

- [ONNX Runtime](https://onnxruntime.ai/)
- [ML.NET](https://learn.microsoft.com/dotnet/machine-learning/)

## Answers

### Answer by ICSM Computer

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:

```cs
// 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:

- [ONNX Runtime](https://onnxruntime.ai/)
- [ML.NET](https://learn.microsoft.com/dotnet/machine-learning/)


---

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