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36 lines
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Markdown
36 lines
1.1 KiB
Markdown
---
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title: API Basics
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descriptions:
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parent: Tutorials
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nav_order: 1
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---
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# ONNX Runtime Inferencing: API Basics
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{: .no_toc }
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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).
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## Contents
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{: .no_toc }
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* TOC placeholder
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{:toc}
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## Python
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* [Scikit-learn Logistic Regression](https://onnxruntime.ai/docs/api/python/tutorial.html)
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* [Image recognition (Resnet50)](https://github.com/onnx/onnx-docker/blob/master/onnx-ecosystem/inference_demos/resnet50_modelzoo_onnxruntime_inference.ipynb)
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## C++
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* [C/C++ examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx)
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## C#
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* [Object detection (Faster RCNN)](../tutorials/csharp/fasterrcnn_csharp.html)
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* [Image recognition (ResNet50 v2)](../tutorials/csharp/resnet50_csharp.html)
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## Java
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* [Number recognition (MNIST)](../tutorials/mnist_java.html)
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## JavaScript
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* [ONNX Runtime JavaScript examples](https://github.com/microsoft/onnxruntime-inference-examples/tree/main/js)
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