onnxruntime/docs/tutorials/api-basics.md
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[Docs] Update CUDA/TRT versions and menu format fixes (#9317)
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---
title: API Basics
parent: Tutorials
nav_order: 1
---
# ONNX Runtime Inferencing: API Basics
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These tutorials demonstrate basic inferencing with ONNX Runtime with each language API. More examples can be found on [microsoft/onnxruntime-inference-examples](https://github.com/microsoft/onnxruntime-inference-examples).
## Contents
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* TOC placeholder
{:toc}
## Python
* [Scikit-learn Logistic Regression](https://microsoft.github.io/onnxruntime/python/tutorial.html)
* [Image recognition (Resnet50)](https://github.com/onnx/onnx-docker/blob/master/onnx-ecosystem/inference_demos/resnet50_modelzoo_onnxruntime_inference.ipynb)
## C++
* [C/C++ examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx)
## C#
* [Object detection (Faster RCNN)]()
* [Image recognition (ResNet50 v2)](../tutorials/resnet50_csharp.html)
## Java
* [Number recognition (MNIST)](../tutorials/mnist_java.html)
## JavaScript
* [ONNX Runtime JavaScript examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/js)