#BPE

Utilize the high-performance Rust-based tokenizers for efficient text processing in research and production environments. Supporting functionalities like normalization with token tracking and pre-processing steps such as truncation, padding, and special token additions, this toolkit is compatible with Python, Node.js, and Ruby, among other languages. Easily customize and train tokenizers with minimal coding efforts. Explore the comprehensive documentation and quick start guides for in-depth understanding.