Rust Transformer Resources

Candle Tutorial - Convert Pytorch Models to Candle Candle is an ML framework written in rust that takes advantage of the speed and memory safety Rust

Noq Not Coq. Simple expression transformer that is not Coq. Quick Start $ cargo run ./examples/add.noq Main Idea The Main Idea is being able to define

@parcel/css A CSS parser, transformer, and minifier written in Rust. Features Extremely fast – Parsing and minifying large files is completed in milli

rs-jest tl;dr -- see examples This is a jest transformer that loads Rust code so it can be interop with Javascript base project. Currently, the Rust c

👽 Not Only a Translator 🌏 English·中文 🌏 This program is not just a translation software, it is not named yet. Supports conversion of input character

Warning: sticker is succeeded by SyntaxDot, which supports many new features: Multi-task learning. Pretrained transformer models, suchs as BERT and XL

rust-tokenizers Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigra

rust-bert Rust native Transformer-based models implementation. Port of Hugging Face's Transformers library, using the tch-rs crate and pre-processing