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README.md
@@ -72,6 +72,7 @@ Once you have an ONNX model, it can be scored with a variety of tools.
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* [Various Samples: Inferencing ONNX models using ONNX Runtime (Python, C#, C, Java, etc)](https://github.com/microsoft/onnxruntime/tree/master/samples)
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### Serving
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+ * [Serving ONNX models with AI-Serving](https://github.com/autodeployai/ai-serving/blob/master/examples/AIServingMnistOnnxModel.ipynb)
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* [Serving ONNX models with Cortex](https://towardsdatascience.com/how-to-deploy-onnx-models-in-production-60bd6abfd3ae)
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* [Serving ONNX models with MXNet Model Server](tutorials/ONNXMXNetServer.ipynb)
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* [Serving ONNX models with ONNX Runtime Server](tutorials/OnnxRuntimeServerSSDModel.ipynb)
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