huggingface-tokenizers
HuggingFace Tokenizers - Fast Tokenization for NLP
Fast, production-ready tokenizers with Rust performance and Python ease-of-use.
When to use HuggingFace Tokenizers
Use HuggingFace Tokenizers when:
- Need extremely fast tokenization (<20s per GB of text)
- Training custom tokenizers from scratch
- Want alignment tracking (token → original text position)
- Building production NLP pipelines
- Need to tokenize large corpora efficiently
Performance:
- Speed: <20 seconds to tokenize 1GB on CPU
- Implementation: Rust core with Python/Node.js bindings
- Efficiency: 10-100× faster than pure Python implementations
Use alternatives instead:
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