sentencepiece

Open source real-time translation app for Android that runs locally

Fast and customizable text tokenization library with BPE and SentencePiece support

🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.

使用sentencepiece中BPE训练中文词表，并在transformers中进行使用。

Free and open source pre-trained translation models, including Kurdish, Samoan, Xhosa, Lao, Corsican, Cebuano, Galician, Yiddish, Swahili, Russian, Belarusian and Yoruba.

Minimal example of using a traced huggingface transformers model with libtorch

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Go implementation of the SentencePiece tokenizer

R package for Byte Pair Encoding / Unigram modelling based on Sentencepiece

Extremely simple and understandable GPT2 implementation with minor tweaks

Rust binding for the sentencepiece library

Learning BPE embeddings by first learning a segmentation model and then training word2vec

Fast and versatile tokenizer for language models, compatible with SentencePiece, Tokenizers, Tiktoken and more. Supports BPE, Unigram and WordPiece tokenization in JavaScript, Python and Rust.

sentencepiece port to webassembly with browser compatibility

BERT implementation of PyTorch

To investigate various DNN text classifiers including MLP, CNN, RNN, BERT approaches.

Use SentencePiece in Swift for tokenization and detokenization.

sentencepiece C# wrapper

dataset, train, inference

Bengali language Tokenizer (SentencePiece)