Sentencepiece
원문: sentencepiece
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilin
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SentencePiece Language Independent Tokenization Unsupervised tokenizer that works on raw text without language specific preprocessing. When to use SentencePiece Use SentencePiece when: Building multilingual models (no language specific rules) Working with CJK languages (Chinese, Japanese, Korean) Need reproducible tokenization (deterministic vocabulary) Want to train on raw text (no pre tokenization needed) Require lightweight deployment (6MB memory, 50k sentences/sec) Performance : Speed : 50,000 sentences/sec Memory : ~6MB for loaded model Languages : All (language independent) Use alternatives instead : HuggingFace Tokenizers : Faster training, more flexibility tiktoken : OpenAI models (G…
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