SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [[Sennrich et al.](http://www.aclweb.org/anthology/P16-1162)]) and unigram language model [[Kudo](https://arxiv.org/abs/1804.109590)]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing.
| Uploaded | Tue Apr 1 00:08:18 2025 |
| md5 checksum | 3a6d79caa33eac25ccfb4f862b9c1d1c |
| arch | x86_64 |
| build | hdb19cb5_4 |
| build_number | 4 |
| depends | libabseil * cxx17*, libabseil >=20250127.0,<20250127.1.0a0, libgcc-ng >=11.2.0, libprotobuf >=5.29.3,<5.29.4.0a0, libsentencepiece 0.2.0 h647b5c1_4, libstdcxx-ng >=11.2.0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 3a6d79caa33eac25ccfb4f862b9c1d1c |
| name | sentencepiece-spm |
| platform | linux |
| sha1 | b05cd210b298bdbd56b824f72ed005854e80f0f4 |
| sha256 | 780191a39a2ef2d2cb4c35d4d25fb9fee3b447a3192031d139581c9befe75e68 |
| size | 84832 |
| subdir | linux-64 |
| timestamp | 1742566961850 |
| version | 0.2.0 |