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Using ML.NET to Build Machine Learning Models

Solution Review: Consuming Sentence Similarity Model

Explore how to consume a sentence similarity model in ML.NET by modifying code to accept user inputs and output similarity scores. Understand how the model compares phrases and the importance of context in interpreting results.

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The complete solution is available in the following playground:

<Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net6.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <PlatformTarget>x64</PlatformTarget>
    <Nullable>disable</Nullable>
  </PropertyGroup>

  <ItemGroup>
    <Compile Remove="ImageClassificationDemo.training.cs" />
  </ItemGroup>

  <ItemGroup>
    <PackageReference Include="Microsoft.ML" Version="3.0.0-preview.23266.6" />
    <PackageReference Include="Microsoft.ML.TorchSharp" Version="0.21.0-preview.23266.6" />
    <PackageReference Include="TorchSharp-cuda-linux" Version="0.99.5" />
  </ItemGroup>

</Project>
Sentence similarity solution

Solving the challenge

We modify the code inside the Program.cs file: ...