Open source real-time translation app for Android that runs locally
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Updated
Aug 1, 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
R package for Byte Pair Encoding / Unigram modelling based on Sentencepiece
A Robustly Optimized BERT Pretraining Approach for Vietnamese
BERT implementation of PyTorch
To investigate various DNN text classifiers including MLP, CNN, RNN, BERT approaches.
Extremely simple and understandable GPT2 implementation with minor tweaks
Bengali language Tokenizer (SentencePiece)
Learning BPE embeddings by first learning a segmentation model and then training word2vec
SentencePiece tokenizer for cross-encoders
Sentencepiece Dart is a wrapper for Google's Sentencepiece C++ library modified
Search for similar documents using Elasticsearch and BERT.
This repository contains codes related to the experiments in "An Experimental Evaluation of Japanese Tokenizers for Sentiment-Based Text Classification" presented at https://www.anlp.jp/nlp2021/. Authors: Andre Rusli and Makoto Shishido (Tokyo Denki University).
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