org.k2fsa.sherpa.onnx.runtime.osx-x64 1.10.40

There is a newer version of this package available.
See the version list below for details.
dotnet add package org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.10.40
                    
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.osx-x64 -Version 1.10.40
                    
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="org.k2fsa.sherpa.onnx.runtime.osx-x64" Version="1.10.40" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="org.k2fsa.sherpa.onnx.runtime.osx-x64" Version="1.10.40" />
                    
Directory.Packages.props
<PackageReference Include="org.k2fsa.sherpa.onnx.runtime.osx-x64" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.10.40
                    
#r "nuget: org.k2fsa.sherpa.onnx.runtime.osx-x64, 1.10.40"
                    
#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.
#:package org.k2fsa.sherpa.onnx.runtime.osx-x64@1.10.40
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.40
                    
Install as a Cake Addin
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.40
                    
Install as a Cake Tool

Introduction

sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team.

It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.

It does not require Internet connection during recognition.

See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.

Please see https://github.com/k2-fsa/sherpa-onnx/tree/dot-net/dotnet-examples for how to use C# APIs of this package.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

  • .NETFramework 2.0

    • No dependencies.
  • .NETFramework 3.5

    • No dependencies.
  • .NETFramework 4.0

    • No dependencies.
  • .NETFramework 4.5

    • No dependencies.
  • .NETStandard 2.0

    • No dependencies.
  • net6.0

    • No dependencies.
  • net7.0

    • No dependencies.
  • net8.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.osx-x64:

Package Downloads
org.k2fsa.sherpa.onnx

sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team. It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc. It does not require Internet connection during recognition. See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.12.13 1,432 9/18/2025
1.12.12 959 9/11/2025
1.12.11 1,355 9/1/2025
1.12.9 1,808 8/17/2025
1.12.8 1,020 8/9/2025
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1.12.6 1,603 7/12/2025
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1.11.4 1,089 4/30/2025
1.11.3 3,768 4/3/2025
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1.11.1 689 3/17/2025
1.11.0 362 3/16/2025
1.10.46 2,265 2/27/2025
1.10.45 1,472 2/17/2025
1.10.44 655 2/13/2025
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1.10.33 1,083 12/4/2024
1.10.32 1,278 11/26/2024
1.10.31 1,091 11/16/2024
1.10.30 2,392 10/27/2024
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1.9.16 729 4/5/2024
1.9.13 748 3/24/2024
1.9.12 639 3/19/2024
1.9.10 1,953 1/29/2024
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1.8.14 1,767 12/4/2023
1.8.10 1,000 11/16/2023
1.8.9 507 11/10/2023
1.8.8 532 11/7/2023
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1.7.14 658 9/14/2023
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1.6.2 632 8/9/2023
1.5.4 1,061 7/21/2023
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