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Merge pull request #86168 from hyoshioka0128/patch-509
Typo “ Tensorflow”→”TensorFlow”
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articles/cognitive-services/Custom-Vision-Service/export-your-model.md

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@@ -21,8 +21,8 @@ Custom Vision Service allows classifiers to be exported to run offline. You can
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Custom Vision Service supports the following exports:
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* __Tensorflow__ for __Android__.
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* **TensorflowJS** for JavaScript frameworks like React, Angular, and Vue. This will run on both **Android** and **iOS** devices.
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* __TensorFlow__ for __Android__.
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* **TensorFlow.js** for JavaScript frameworks like React, Angular, and Vue. This will run on both **Android** and **iOS** devices.
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* __CoreML__ for __iOS11__.
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* __ONNX__ for __Windows ML__, **Android**, and **iOS**.
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* __[Vision AI Developer Kit](https://azure.github.io/Vision-AI-DevKit-Pages/)__.
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Integrate your exported model into an application by exploring one of the following articles or samples:
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* [Use your Tensorflow model with Python](export-model-python.md)
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* [Use your TensorFlow model with Python](export-model-python.md)
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* [Use your ONNX model with Windows Machine Learning](custom-vision-onnx-windows-ml.md)
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* See the sample for [CoreML model in an iOS application](https://go.microsoft.com/fwlink/?linkid=857726) for real-time image classification with Swift.
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* See the sample for [Tensorflow model in an Android application](https://github.com/Azure-Samples/cognitive-services-android-customvision-sample) for real-time image classification on Android.
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* See the sample for [TensorFlow model in an Android application](https://github.com/Azure-Samples/cognitive-services-android-customvision-sample) for real-time image classification on Android.
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* See the sample for [CoreML model with Xamarin](https://github.com/xamarin/ios-samples/tree/master/ios11/CoreMLAzureModel) for real-time image classification in a Xamarin iOS app.

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