org.k2fsa.sherpa.onnx.runtime.osx-x64 1.10.30 

dotnet add package org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.10.30                

                    
                

            
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.osx-x64 -Version 1.10.30
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="1.10.30" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.10.30                

                    
                

            
#r "nuget: org.k2fsa.sherpa.onnx.runtime.osx-x64, 1.10.30"
#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 org.k2fsa.sherpa.onnx.runtime.osx-x64 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.30

// Install org.k2fsa.sherpa.onnx.runtime.osx-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.30

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.

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
1.10.30 1,456 10/27/2024
1.10.29 300 10/25/2024
1.10.28 1,179 10/13/2024
1.10.27 2,253 9/19/2024
1.10.26 585 9/14/2024
1.10.25 148 9/14/2024
1.10.24 228 9/13/2024
1.10.23 1,643 8/26/2024
1.10.22 1,275 8/19/2024
1.10.21 778 8/8/2024
1.10.20 405 7/29/2024
1.10.19 237 7/27/2024
1.10.17 644 7/20/2024
1.10.15 495 7/15/2024
1.10.14 270 7/13/2024
1.10.13 394 7/10/2024
1.10.12 214 7/9/2024
1.10.11 239 7/8/2024
1.10.9 323 7/6/2024
1.10.6 529 7/1/2024
1.10.5 381 6/27/2024
1.10.3 164 6/27/2024
1.10.2 293 6/25/2024
1.10.1 362 6/23/2024
1.10.0 1,659 6/18/2024
1.9.29 426 6/14/2024
1.9.28 239 6/12/2024
1.9.27 513 6/5/2024
1.9.26 470 5/30/2024
1.9.24 1,018 5/11/2024
1.9.23 734 4/26/2024
1.9.21 562 4/17/2024
1.9.16 625 4/5/2024
1.9.13 653 3/24/2024
1.9.12 486 3/19/2024
1.9.10 1,859 1/29/2024
1.9.7 841 1/11/2024
1.8.14 1,684 12/4/2023
1.8.10 922 11/16/2023
1.8.9 441 11/10/2023
1.8.8 460 11/7/2023
1.8.7 723 10/28/2023
1.8.6 460 10/26/2023
1.8.4 543 10/20/2023
1.8.2 437 10/18/2023
1.8.1 438 10/16/2023
1.7.21 1,181 9/24/2023
1.7.19 532 9/23/2023
1.7.18 381 9/22/2023
1.7.17 440 9/21/2023
1.7.16 423 9/21/2023
1.7.15 539 9/17/2023
1.7.14 563 9/14/2023
1.7.13 499 9/12/2023
1.7.12 633 9/7/2023
1.7.11 1,189 8/18/2023
1.7.10 396 8/18/2023
1.7.9 538 8/17/2023
1.7.8 549 8/16/2023
1.7.7 573 8/16/2023
1.7.6 579 8/14/2023
1.7.5 498 8/14/2023
1.7.4 433 8/14/2023
1.7.3 584 8/12/2023
1.7.2 562 8/11/2023
1.7.1 595 8/10/2023
1.7.0 576 8/9/2023
1.6.2 527 8/9/2023
1.5.4 949 7/21/2023
1.5.3 691 7/15/2023
1.5.2 448 7/14/2023
1.5.1 471 7/13/2023
1.5.0 578 7/9/2023
1.4.8 816 7/2/2023
1.4.6 672 6/27/2023
1.4.5 574 6/23/2023
1.4.4 798 6/8/2023
1.4.3 973 5/14/2023
1.4.2 582 5/8/2023
1.4.1 498 5/6/2023