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, Russian, Belarusian and Yoruba.
Fast tokenizer for language models, compatible with SentencePiece, Tokenizers, Tiktoken and more. Supports BPE, Unigram and WordPiece tokenization in JavaScript, Python and Rust.
Go implementation of the SentencePiece tokenizer
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
Pure Rust GGUF tokenizer: 100% llama.cpp parity, zero C/C++ FFI, zero unsafe, WASM-ready. Free forever.
FLUX-REALISM is an experimental, advanced image generation application designed to provide highly realistic image synthesis workflows. Powered by the state-of-the-art FLUX architecture, the suite offers a dual-model workspace featuring FLUX.1-Krea-dev and a specialized FLUX.1-dev.
Extremely simple and understandable GPT2 implementation with minor tweaks
Learning BPE embeddings by first learning a segmentation model and then training word2vec
Use SentencePiece in Swift for tokenization and detokenization.
sentencepiece port to webassembly with browser compatibility
BIG PROJECT "Trained Decoder only model on large BookCorpus Dataset. First time!"
BERT implementation of PyTorch
Flux.2-Klein-KV-Edit-Consistency-Ultra-Fast is a high-performance image editing and generation workspace based on the black-forest-labs/FLUX.2-klein-9b-kv base model and the dx8152/Flux2-Klein-9B-Consistency LoRA adapter.
To associate your repository with the sentencepiece topic, visit your repo's landing page and select "manage topics."