Go implementation of the SentencePiece tokenizer
-
Updated
Aug 8, 2024 - Go
Go implementation of the SentencePiece tokenizer
SentencePiece tokenizer for cross-encoders
Fast and versatile tokenizer for language models with BPE, Unigram and WordPiece tokenization. Compatible with SentencePiece, Tokenizers, Tiktoken and more.
Open source real-time translation app for Android that runs locally
Fast and customizable text tokenization library with BPE and SentencePiece support
SentencePiece model parser generated from the SentencePiece protobuf definition.
An Industry Standard Tokenizer, purposed for large-scale language models like OpenAI's GPT Series.
Escape unknown symbols in SentecePiece vocabularies
dataset, train, inference
🌿 An easy-to-use Japanese Text Processing tool, which makes it possible to switch tokenizers with small changes of code.
Automated WikiGame-playing 'bot'. Achieved via SentenceTransformer Word Embeddings.
Search for similar documents using Elasticsearch and BERT.
pretrained models and a training code for sentencepiece
使用sentencepiece中BPE训练中文词表,并在transformers中进行使用。
Tensorflow Model Incorporable Sentencepiece Tokenizer Training Code
Learning BPE embeddings by first learning a segmentation model and then training word2vec
R package for Byte Pair Encoding / Unigram modelling based on Sentencepiece
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).
Unsupervised text tokenizer for Neural Network-based text generation.
Add a description, image, and links to the sentencepiece topic page so that developers can more easily learn about it.
To associate your repository with the sentencepiece topic, visit your repo's landing page and select "manage topics."