Microsoft.SemanticKernel.Connectors.Onnx 1.9.0-alpha

The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved
This is a prerelease version of Microsoft.SemanticKernel.Connectors.Onnx.
There is a newer prerelease version of this package available.
See the version list below for details.
dotnet add package Microsoft.SemanticKernel.Connectors.Onnx --version 1.9.0-alpha
NuGet\Install-Package Microsoft.SemanticKernel.Connectors.Onnx -Version 1.9.0-alpha
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Microsoft.SemanticKernel.Connectors.Onnx" Version="1.9.0-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Microsoft.SemanticKernel.Connectors.Onnx --version 1.9.0-alpha
#r "nuget: Microsoft.SemanticKernel.Connectors.Onnx, 1.9.0-alpha"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Microsoft.SemanticKernel.Connectors.Onnx as a Cake Addin
#addin nuget:?package=Microsoft.SemanticKernel.Connectors.Onnx&version=1.9.0-alpha&prerelease

// Install Microsoft.SemanticKernel.Connectors.Onnx as a Cake Tool
#tool nuget:?package=Microsoft.SemanticKernel.Connectors.Onnx&version=1.9.0-alpha&prerelease

About Semantic Kernel

Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages. The SK extensible programming model combines natural language semantic functions, traditional code native functions, and embeddings-based memory unlocking new potential and adding value to applications with AI.

Semantic Kernel incorporates cutting-edge design patterns from the latest in AI research. This enables developers to augment their applications with advanced capabilities, such as prompt engineering, prompt chaining, retrieval-augmented generation, contextual and long-term vectorized memory, embeddings, summarization, zero or few-shot learning, semantic indexing, recursive reasoning, intelligent planning, and access to external knowledge stores and proprietary data.

Getting Started ⚡

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

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Version Downloads Last updated
1.13.0-alpha 36 5/20/2024
1.12.0-alpha 50 5/16/2024
1.11.1-alpha 69 5/10/2024
1.11.0-alpha 51 5/8/2024
1.10.0-alpha 2,407 4/29/2024
1.9.0-alpha 50 4/24/2024
1.8.0-alpha 52 4/22/2024
1.7.1-alpha 77 4/5/2024
1.7.0-alpha 61 4/3/2024