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Update README to add 32 bit support in 0.7 (dotnet#1559)
* Update README to add 32 bit support in 0.7 Also change .NET Core 2.0 - >2.1 as 2.0 is now out of support. * Update README.md * Update README.md * Update README.md
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README.md

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@@ -16,11 +16,11 @@ Along with these ML capabilities, this first release of ML.NET also brings the f
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[![NuGet Status](https://img.shields.io/nuget/v/Microsoft.ML.svg?style=flat)](https://www.nuget.org/packages/Microsoft.ML/)
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ML.NET runs on Windows, Linux, and macOS - any platform where x64 [.NET Core](https://github.com/dotnet/core) or later is available. In addition, .NET Framework on Windows x64 is also supported.
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ML.NET runs on Windows, Linux, and macOS using [.NET Core](https://github.com/dotnet/core), or Windows using .NET Framework. 64 bit is supported on all platforms. 32 bit is supported on Windows, except for TensorFlow, LightGBM, and ONNX related functionality.
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The current release is 0.6. Check out the [release notes](docs/release-notes/0.6/release-0.6.md) to see what's new.
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The current release is 0.7. Check out the [release notes](docs/release-notes/0.7/release-0.7.md) and [blog post](https://blogs.msdn.microsoft.com/dotnet/2018/11/08/announcing-ml-net-0-7-machine-learning-net/) to see what's new.
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First, ensure you have installed [.NET Core 2.0](https://www.microsoft.com/net/learn/get-started) or later. ML.NET also works on the .NET Framework. Note that ML.NET currently must run in a 64-bit process.
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First, ensure you have installed [.NET Core 2.1](https://www.microsoft.com/net/learn/get-started) or later. ML.NET also works on the .NET Framework 4.6.1 or later, but 4.7.2 or later is recommended.
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Once you have an app, you can install the ML.NET NuGet package from the .NET Core CLI using:
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