Tokenizers.DotNet 1.1.3

• Tokenizers.DotNet
• Nuget Package list
• Requirements
• Supported functionalities
• How to use
  • (1) Install the packages
  • (2) Write the code
• How to build
  • Cross-platform build

Tokenizers.DotNet

.NET wrapper of HuggingFace Tokenizers library

Nuget Package list

Package	main	Description
Tokenizers.DotNet		Core library
Tokenizers.DotNet.runtime.win-x64		Native bindings for windows x64
Tokenizers.DotNet.runtime.win-arm64		Native bindings for windows arm64
Tokenizers.DotNet.runtime.linux-x64		Native bindings for linux x64
Tokenizers.DotNet.runtime.linux-arm64		Native bindings for linux arm64

Requirements

• .NET 6 or above
• (Build) Latest Rust

Supported functionalities

• Download tokenizer files from Hugginface Hub
• Load tokenizer file(.json) from local
• Encode string to tokens
• Decode tokens to string

How to use

(1) Install the packages

1. From the NuGet, install Tokenizers.DotNet package
2. And then, install Tokenizers.DotNet.runtime.<OS>-<ARCH> package too (e.a win-x64 or linux-arm64, check Nuget package list above).

(2) Write the code

Check following example code:

using Tokenizers.DotNet;

// Download skt/kogpt2-base-v2/tokenizer.json from the hub
var hubName = "skt/kogpt2-base-v2";
var filePath = "tokenizer.json";
var fileFullPath = await HuggingFace.GetFileFromHub(hubName, filePath, "deps");
Console.WriteLine($"Downloaded {fileFullPath}");

// Create a tokenizer instance
var tokenizer = new Tokenizer(vocabPath: fileFullPath);
var text = "음, 이제 식사도 해볼까요";
Console.WriteLine($"Input text: {text}");
var tokens = tokenizer.Encode(text);
Console.WriteLine($"Encoded: {string.Join(", ", tokens)}");
var decoded = tokenizer.Decode(tokens);
Console.WriteLine($"Decoded: {decoded}");

Console.WriteLine($"Version of Tokenizers.DotNet.runtime.win: {tokenizer.GetVersion()}");

Console.WriteLine("--------------------------------------------------");
// Use another tokenizer
//// Download openai-community/gpt2 from the hub
hubName = "openai-community/gpt2";
filePath = "tokenizer.json";
fileFullPath = await HuggingFace.GetFileFromHub(hubName, filePath, "deps");

// Create a tokenizer instance
var tokenizer2 = new Tokenizer(vocabPath: fileFullPath);
var text2 = "i was nervous before the exam, and i had a fever.";
Console.WriteLine($"Input text: {text2}");
var tokens2 = tokenizer2.Encode(text2);
Console.WriteLine($"Encoded: {string.Join(", ", tokens2)}");
var decoded2 = tokenizer2.Decode(tokens2);
Console.WriteLine($"Decoded: {decoded2}");

Console.WriteLine($"Version of Tokenizers.DotNet.runtime.win: {tokenizer2.GetVersion()}");
Console.ReadKey();

How to build

1. Prepare following stuff:
   1. Rust build system (cargo)
   2. .NET build system (dotnet 6.0, 7.0, 8.0, 9.0)
   3. PowerShell (Recommend 7.4.2 or above)
2. Bump the version number in NATIVE_LIB_VERSION.txt
3. Run build_all_clean.ps1
   1. To build Tokenizers.DotNet.runtime.<OS> only, run build_rust.ps1
   2. To build Tokenizers.DotNet only, run build_dotnet.ps1

Each build artifacts will be in nuget directory.

Cross-platform build

You can use Docker to compile this library for Windows x64/arm64 and Linux x64/arm64

Run update_version.ps1 before running Docker to update the package version.

Windows:

PS > docker build -f Dockerfile -t ghcr.io/sappho192/tokenizers.dotnet:latest .
PS > docker run -v .\nuget:/out --rm ghcr.io/sappho192/tokenizers.dotnet:latest

Linux/MacOS:

$ docker build -f Dockerfile -t ghcr.io/sappho192/tokenizers.dotnet:latest .
$ docker run -v ./nuget:/out --rm ghcr.io/sappho192/tokenizers.dotnet:latest

Built packages will be in the nuget folder.