Sentencepiece
orchestra-research/ai-research-skills/02-tokenization/sentencepieceby orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago
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 multilingual support, CJK languages, or reproducible tokenization.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/algorithms.md | 4.1 KB | text/markdown |
| references/training.md | 6.1 KB | text/markdown |
| SKILL.md | 5.5 KB | text/markdown |
Source and attribution
Source:orchestra-research/ai-research-skillsin02-tokenization/sentencepieceat commit773a529
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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