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Update README to include services section (#148)
* Update README to include services section * Update README.md
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README.md

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## Getting ONNX models
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* Choose a pre-trained ONNX model from the [ONNX Model Zoo](https://github.com/onnx/models). Many pre-trained ONNX models are provided for common scenarios.
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* Use services like [Azure Custom Vision service](https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/custom-vision-onnx-windows-ml) that generate customized ONNX models for your data
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* Pre-trained models: Many pre-trained ONNX models are provided for common scenarios in the [ONNX Model Zoo](https://github.com/onnx/models).
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* Services: Customized ONNX models are generated for your data by cloud based services (see below)
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* Convert models from various frameworks (see below)
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### Services
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Below is a list of services that can output ONNX models customized for your data.
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* [Azure Custom Vision service](https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/custom-vision-onnx-windows-ml)
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* [Azure Machine Learning automated ML](https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml#use-with-onnx-in-c-apps)
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## Converting to ONNX format
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### Converting to ONNX format
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| Framework / Tool | Installation | Tutorial |
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| --- | --- | --- |
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| [Caffe](https://github.com/BVLC/caffe) | [apple/coremltools](https://github.com/apple/coremltools) and [onnx/onnxmltools](https://github.com/onnx/onnxmltools) | [Example](https://github.com/onnx/onnx-docker/blob/master/onnx-ecosystem/converter_scripts/caffe_coreml_onnx.ipynb) |

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