Open source real-time translation app for Android that runs locally
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Updated
Nov 23, 2024 - C++
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。
Minimal example of using a traced huggingface transformers model with libtorch
A Robustly Optimized BERT Pretraining Approach for Vietnamese
R package for Byte Pair Encoding / Unigram modelling based on Sentencepiece
Go implementation of the SentencePiece tokenizer
Extremely simple and understandable GPT2 implementation with minor tweaks
Learning BPE embeddings by first learning a segmentation model and then training word2vec
sentencepiece port to webassembly with browser compatibility
BERT implementation of PyTorch
To investigate various DNN text classifiers including MLP, CNN, RNN, BERT approaches.
Fast and versatile tokenizer for language models with BPE, Unigram and WordPiece tokenization. Compatible with SentencePiece, Tokenizers, Tiktoken and more.
dataset, train, inference
Bengali language Tokenizer (SentencePiece)
Use SentencePiece in Swift for tokenization and detokenization.
SentencePiece tokenizer for cross-encoders
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