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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.
#tokenization#llm-optimization#huggingface#rust#transformers
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Repository
Repositorydavila7/claude-code-templates
Stars22,267
Last UpdatedMar 7, 2026
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