tokenizers
Fast, state-of-the-art tokenizers for training and tokenization, optimized for both research and production.
What is tokenizers?
Hugging Face Tokenizers is a library that provides fast, state-of-the-art implementations of tokenization algorithms like Byte-Pair Encoding (BPE), WordPiece, and Unigram. It solves the need for efficient text preprocessing in NLP by offering high-speed training and tokenization, optimized for both research and production environments.
Machine learning researchers and engineers working on natural language processing tasks who require performant tokenization for training models or processing large text datasets.
Developers choose it for its exceptional speed due to Rust implementation, versatility in supporting multiple tokenization methods, and comprehensive features like alignment tracking and preprocessing utilities, which streamline NLP workflows.
Overview
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Use Cases
Best For
- Training custom vocabularies for transformer models
- High-speed tokenization of large text corpora
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