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)