Microsoft.ML.Tokenizers
0.22.0-preview.24179.1
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.ML.Tokenizers --version 0.22.0-preview.24179.1
NuGet\Install-Package Microsoft.ML.Tokenizers -Version 0.22.0-preview.24179.1
<PackageReference Include="Microsoft.ML.Tokenizers" Version="0.22.0-preview.24179.1" />
paket add Microsoft.ML.Tokenizers --version 0.22.0-preview.24179.1
#r "nuget: Microsoft.ML.Tokenizers, 0.22.0-preview.24179.1"
// Install Microsoft.ML.Tokenizers as a Cake Addin
#addin nuget:?package=Microsoft.ML.Tokenizers&version=0.22.0-preview.24179.1&prerelease
// Install Microsoft.ML.Tokenizers as a Cake Tool
#tool nuget:?package=Microsoft.ML.Tokenizers&version=0.22.0-preview.24179.1&prerelease
About
Microsoft.ML.Tokenizers supports various the implementation of the tokenization used in the NLP transforms.
Key Features
- Extensible tokenizer architecture that allows for specialization of Normalizer, PreTokenizer, Model/Encoder, Decoder
- BPE - Byte pair encoding model
- English Roberta model
- Tiktoken model
- Llama model
How to Use
using Microsoft.ML.Tokenizers;
using System.Net.Http;
using System.IO;
//
// Using Tiktoken Tokenizer
//
// initialize the tokenizer for `gpt-4` model
Tokenizer tokenizer = Tokenizer.CreateTiktokenForModel("gpt-4");
string source = "Text tokenization is the process of splitting a string into a list of tokens.";
Console.WriteLine($"Tokens: {tokenizer.CountTokens(source)}");
// print: Tokens: 16
var trimIndex = tokenizer.LastIndexOfTokenCount(source, 5, out string processedText, out _);
Console.WriteLine($"5 tokens from end: {processedText.Substring(trimIndex)}");
// 5 tokens from end: a list of tokens.
trimIndex = tokenizer.IndexOfTokenCount(source, 5, out processedText, out _);
Console.WriteLine($"5 tokens from start: {processedText.Substring(0, trimIndex)}");
// 5 tokens from start: Text tokenization is the
IReadOnlyList<int> ids = tokenizer.EncodeToIds(source);
Console.WriteLine(string.Join(", ", ids));
// prints: 1199, 4037, 2065, 374, 279, 1920, 315, 45473, 264, 925, 1139, 264, 1160, 315, 11460, 13
//
// Using Llama Tokenizer
//
// Open stream of remote Llama tokenizer model data file
using HttpClient httpClient = new();
const string modelUrl = @"https://huggingface.co/hf-internal-testing/llama-tokenizer/resolve/main/tokenizer.model";
using Stream remoteStream = await httpClient.GetStreamAsync(modelUrl);
// Create the Llama tokenizer using the remote stream
Tokenizer llamaTokenizer = Tokenizer.CreateLlama(remoteStream);
string input = "Hello, world!";
ids = llamaTokenizer.EncodeToIds(input);
Console.WriteLine(string.Join(", ", ids));
// prints: 1, 15043, 29892, 3186, 29991
Console.WriteLine($"Tokens: {llamaTokenizer.CountTokens(input)}");
// print: Tokens: 5
Main Types
The main types provided by this library are:
Microsoft.ML.Tokenizers.Tokenizer
Microsoft.ML.Tokenizers.Bpe
Microsoft.ML.Tokenizers.EnglishRoberta
Microsoft.ML.Tokenizers.Tiktoken
Microsoft.ML.Tokenizers.TokenizerDecoder
Microsoft.ML.Tokenizers.Normalizer
Microsoft.ML.Tokenizers.PreTokenizer
Additional Documentation
Related Packages
Feedback & Contributing
Microsoft.ML.Tokenizers is released as open source under the MIT license. Bug reports and contributions are welcome at the GitHub repository.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. 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. |
.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 was computed. |
.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. |
-
.NETStandard 2.0
- Google.Protobuf (>= 3.19.6)
- System.Text.Json (>= 6.0.1)
-
net8.0
- Google.Protobuf (>= 3.19.6)
- System.Text.Json (>= 6.0.1)
NuGet packages (4)
Showing the top 4 NuGet packages that depend on Microsoft.ML.Tokenizers:
Package | Downloads |
---|---|
Microsoft.ML.TorchSharp
Microsoft.ML.TorchSharp contains ML.NET integration of TorchSharp. |
|
Microsoft.KernelMemory.AI.TikToken
Provide TikToken tokenizers in Kernel Memory |
|
Microsoft.Teams.AI
SDK focused on building AI based applications for Microsoft Teams. |
|
Alkampfer.KernelMemory.Extensions
Added some extensions for Kernel Memory. |
GitHub repositories (5)
Showing the top 5 popular GitHub repositories that depend on Microsoft.ML.Tokenizers:
Repository | Stars |
---|---|
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
|
|
Azure-Samples/cosmosdb-chatgpt
Sample application that combines Azure Cosmos DB with Azure OpenAI ChatGPT service
|
|
dotnet/ai-samples
|
|
lindexi/lindexi_gd
博客用到的代码
|
|
Azure/Vector-Search-AI-Assistant
Microsoft Official Build Modern AI Apps reference solutions and content. Demonstrate how to build Copilot applications that incorporate Hero Azure Services including Azure OpenAI Service, Azure Container Apps (or AKS) and Azure Cosmos DB for NoSQL with Vector Search.
|
Version | Downloads | Last updated |
---|---|---|
0.22.0-preview.24271.1 | 642 | 5/21/2024 |
0.22.0-preview.24179.1 | 26,820 | 4/2/2024 |
0.22.0-preview.24162.2 | 17,596 | 3/13/2024 |
0.21.1 | 46,520 | 1/18/2024 |
0.21.0 | 44,624 | 11/27/2023 |
0.21.0-preview.23511.1 | 50,564 | 10/13/2023 |
0.21.0-preview.23266.6 | 49,072 | 5/17/2023 |
0.21.0-preview.22621.2 | 1,943 | 12/22/2022 |
0.20.1 | 69,657 | 2/1/2023 |
0.20.1-preview.22573.9 | 2,013 | 11/24/2022 |
0.20.0 | 26,268 | 11/8/2022 |
0.20.0-preview.22551.1 | 200 | 11/1/2022 |