huggingface-tokenizers

SKILLWorkflowcommunauté
v0.0.0Orchestra-ResearchMITMis à jour il y a 2 moisSource →

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-perf

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il y a 2 moisDernière mise à jour
Skill
AuteurOrchestra-Research
Version0.0.0
LicenceMIT
CatégorieWorkflow
Formatsskill.md
PromptOuvrir (voir l’onglet Prompt)
Compatibilité
Claude✓ Pris en charge
Cursor
Copilot
ChatGPT
Gemini
À propos

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.

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