org.k2fsa.sherpa.onnx.runtime.osx-arm64 1.11.3 

dotnet add package org.k2fsa.sherpa.onnx.runtime.osx-arm64 --version 1.11.3
                    


                    

                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.osx-arm64 -Version 1.11.3
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-arm64" Version="1.11.3" />
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-arm64" Version="1.11.3" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="org.k2fsa.sherpa.onnx.runtime.osx-arm64" />
                    


                            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-arm64 --version 1.11.3
                    


                    

                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.osx-arm64, 1.11.3"
#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. 
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-arm64&version=1.11.3
                    


                            Install org.k2fsa.sherpa.onnx.runtime.osx-arm64 as a Cake Addin
                        

                    

                
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-arm64&version=1.11.3
                    


                            Install org.k2fsa.sherpa.onnx.runtime.osx-arm64 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-arm64:

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
1.11.3 201 4/3/2025
1.11.2 1,535 3/21/2025
1.11.1 582 3/17/2025
1.11.0 250 3/16/2025
1.10.46 1,750 2/27/2025
1.10.45 1,042 2/17/2025
1.10.44 431 2/13/2025
1.10.43 430 2/9/2025
1.10.42 206 2/8/2025
1.10.41 1,400 1/22/2025
1.10.40 125 1/22/2025
1.10.39 771 1/13/2025
1.10.38 592 1/6/2025
1.10.37 638 12/31/2024
1.10.36 198 12/30/2024
1.10.35 1,506 12/12/2024
1.10.34 222 12/11/2024
1.10.33 797 12/4/2024
1.10.32 995 11/26/2024
1.10.31 881 11/16/2024
1.10.30 1,924 10/27/2024
1.10.29 293 10/25/2024
1.10.28 1,124 10/13/2024
1.10.27 2,084 9/19/2024
1.10.26 536 9/14/2024
1.10.25 169 9/14/2024
1.10.24 233 9/13/2024
1.10.23 1,564 8/26/2024
1.10.22 2,066 8/19/2024
1.10.21 735 8/8/2024
1.10.20 427 7/29/2024
1.10.19 248 7/27/2024
1.10.17 656 7/20/2024
1.10.15 503 7/15/2024
1.10.14 281 7/13/2024
1.10.13 365 7/10/2024
1.10.12 215 7/9/2024
1.10.11 217 7/8/2024
1.10.9 297 7/6/2024
1.10.6 504 7/1/2024
1.10.5 378 6/27/2024
1.10.3 195 6/27/2024
1.10.2 282 6/25/2024
1.10.1 318 6/23/2024
1.10.0 1,754 6/18/2024
1.9.29 395 6/14/2024