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 | Mon Mar 31 02:25:53 2025 |
| md5 checksum | 1b50f41a64c15059ad06031d549ccccf |
| arch | x86_64 |
| build | py311h3e0de92_2 |
| build_number | 2 |
| depends | libgcc-ng >=11.2.0, libprotobuf >=4.25.3,<4.25.4.0a0, libsentencepiece 0.2.0 h70df78d_2, libstdcxx-ng >=11.2.0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 1b50f41a64c15059ad06031d549ccccf |
| name | sentencepiece-python |
| platform | linux |
| sha1 | e5c2b69ed069dfdedb26ee71a8543466e285c874 |
| sha256 | 20975c710796be35cbd209de91e521231285552a2ebd47881cd4e06d7f90605a |
| size | 3222904 |
| subdir | linux-64 |
| timestamp | 1722874624664 |
| version | 0.2.0 |