Huggingface Tokenizers

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

Originally published by orchestra. Licensed under MIT. View original: https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/02-tokenization/huggingface-tokenizers

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