ModelTokenizerSdk 2.0.4

There is a newer version of this package available.
See the version list below for details.
dotnet add package ModelTokenizerSdk --version 2.0.4
                    
NuGet\Install-Package ModelTokenizerSdk -Version 2.0.4
                    
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="ModelTokenizerSdk" Version="2.0.4" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="ModelTokenizerSdk" Version="2.0.4" />
                    
Directory.Packages.props
<PackageReference Include="ModelTokenizerSdk" />
                    
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 ModelTokenizerSdk --version 2.0.4
                    
#r "nuget: ModelTokenizerSdk, 2.0.4"
                    
#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=ModelTokenizerSdk&version=2.0.4
                    
Install ModelTokenizerSdk as a Cake Addin
#tool nuget:?package=ModelTokenizerSdk&version=2.0.4
                    
Install ModelTokenizerSdk as a Cake Tool

ModelTokenizerSdk

Model Tokenizer SDK

Model tokenizer SDK. This SDK uses the modeltokenizer docker image found here (repository for the Docker image is here).

New in v2.0.x

  • Compatibility with v2.0 of the Docker container

Help or Feedback

Need help or have feedback? Please file an issue here!

Simple Example

using ModelTokenizerSdk;

ModelTokenizer tokenizer = new ModelTokenizer(endpoint);
bool connected = await tokenizer.ValidateConnectivity();

TokenizationResult result1 = await tokenizer.Tokenize(
  "sentence-transformers/all-MiniLM-L6-v2",  // model
  "this is a very simple sentence",          // sentence
  null,                                      // Huggingface API key
  null,                                      // max chunk length
  null,                                      // max tokens per chunk
  null,                                      // token overlap 
  );
/*
{
    "text": "The quick brown fox jumped quietly over the lazy dog sitting under the tree",
    "sha256": "97f4ebc3817b6b2016e7739dc31970b8a4a8cb5f8f06281cdedb21aa49affb24",
    "tokens": [
        "the",
        "quick",
        "brown",
        "fox",
        "jumped",
        "quietly",
        "over",
        "the",
        "lazy",
        "dog",
        "sitting",
        "under",
        "the",
        "tree"
    ],
    "chunks": [
        {
            "text": "The quick brown fox jumped quietly over the lazy dog sitting under the tree",
            "sha256": "97f4ebc3817b6b2016e7739dc31970b8a4a8cb5f8f06281cdedb21aa49affb24",
            "token_count": 14
        }
    ]
}
*/

BatchTokenizationResult result2 = await tokenizer.Tokenize(
  "sentence-transformers/all-MiniLM-L6-v2", // model
  new List<string> {
    "this is a very simple sentence",
    "hello, how's your day going today?"
  },
  null // Huggingface API key
  );

/*
{
    "results": [
        {
            "text": "this is a very simple sentence",
            "sha256": "32392aa65df45f53e4cc19597482acfa78060871ee9af502cc749f126d98f1c2",
            "tokens": [
                "this",
                "is",
                "a",
                "very",
                "simple",
                "sentence"
            ],
            "chunks": [
                {
                    "text": "this is a very simple sentence",
                    "sha256": "32392aa65df45f53e4cc19597482acfa78060871ee9af502cc749f126d98f1c2",
                    "token_count": 6
                }
            ]
        },
        {
            "text": "hello, how's your day going today?",
            "sha256": "8c09b7181ee47076617ac3fbe935d3a7f59fb53822a1302ab8131066f931f4b4",
            "tokens": [
                "hello",
                ",",
                "how",
                "'",
                "s",
                "your",
                "day",
                "going",
                "today",
                "?"
            ],
            "chunks": [
                {
                    "text": "hello, how's your day going today?",
                    "sha256": "8c09b7181ee47076617ac3fbe935d3a7f59fb53822a1302ab8131066f931f4b4",
                    "token_count": 10
                }
            ]
        },
        {
            "text": "The quick brown fox jumped quietly over the lazy dog sitting under the tree",
            "sha256": "97f4ebc3817b6b2016e7739dc31970b8a4a8cb5f8f06281cdedb21aa49affb24",
            "tokens": [
                "the",
                "quick",
                "brown",
                "fox",
                "jumped",
                "quietly",
                "over",
                "the",
                "lazy",
                "dog",
                "sitting",
                "under",
                "the",
                "tree"
            ],
            "chunks": [
                {
                    "text": "The quick brown fox jumped quietly over the lazy dog sitting under the tree",
                    "sha256": "97f4ebc3817b6b2016e7739dc31970b8a4a8cb5f8f06281cdedb21aa49affb24",
                    "token_count": 14
                }
            ]
        }
    ]
}
*/

Chunking

ModelTokenizer can chunk based on three configurable parameters:

  • MaxChunkLength - the maximum length, in characters, of any chunk
  • MaxTokensPerChunk - the maximum number of tokens per chunk
  • TokenOverlap - the number of tokens from the end of the current chunk to include in the next chunk.

Consider the sentence The quick brown fox jumped quietly over the lazy dog sitting under the tree with a MaxChunkLength of 128, MaxTokensPerChunk of 5, and a TokenOverlap of 2. The result is as follows:

  • Chunk 1 - the quick brown fox jumped
  • Chunk 2 - fox jumped quietly over the
  • Chunk 3 - over the lazy dog sitting
  • Chunk 4 - dog sitting under the tree
using ModelTokenizerSdk;

ModelTokenizer tokenizer = new ModelTokenizer(endpoint);
bool connected = await tokenizer.ValidateConnectivity();

TokenizationResult result1 = await tokenizer.Tokenize(
  "sentence-transformers/all-MiniLM-L6-v2",  // model
  "this is a very simple sentence",          // sentence
  null,                                      // Huggingface API key
  128,                                       // max chunk length
  5,                                         // max tokens per chunk
  2,                                         // token overlap 
  );
/*
{
    "text": "The quick brown fox jumped quietly over the lazy dog sitting under the tree",
    "sha256": "97f4ebc3817b6b2016e7739dc31970b8a4a8cb5f8f06281cdedb21aa49affb24",
    "tokens": [
        "the",
        "quick",
        "brown",
        "fox",
        "jumped",
        "quietly",
        "over",
        "the",
        "lazy",
        "dog",
        "sitting",
        "under",
        "the",
        "tree"
    ],
    "chunks": [
        {
            "text": "the quick brown fox jumped",
            "sha256": "3f00e8ca186729a9df3f4228c4afe4c602ed30c0618777e305292df2e3aafb6c",
            "token_count": 5
        },
        {
            "text": "fox jumped quietly over the",
            "sha256": "7b509f90eccfe72ba029a7926f0f4d247179e2f579251a4b6c03262ba6436d08",
            "token_count": 5
        },
        {
            "text": "over the lazy dog sitting",
            "sha256": "c903e6835c9d3808eda7f44c4e871e902c5deedc426c9da26ed2550b96744c4e",
            "token_count": 5
        },
        {
            "text": "dog sitting under the tree",
            "sha256": "15e756beea1d97e33d12cbcab305625ca16201f72961e4fda0ca921d018fa02c",
            "token_count": 5
        }
    ]
}
*/

Version History

Please refer to CHANGELOG.md.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  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 is compatible.  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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 is compatible. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

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Version Downloads Last updated
2.0.6 125 5/2/2025
2.0.5 112 5/2/2025
2.0.4 126 5/1/2025
2.0.3 128 4/30/2025
2.0.2 127 4/30/2025
2.0.1 129 4/30/2025
2.0.0 133 4/30/2025
1.0.0 110 4/11/2025

Initial release