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 02:25:58 2025 |
| md5 checksum | d76a70e7567042467e94cb4932303c8a |
| arch | x86_64 |
| build | py39hdb19cb5_4 |
| build_number | 4 |
| depends | libgcc-ng >=11.2.0, libprotobuf >=5.29.3,<5.29.4.0a0, libsentencepiece 0.2.0 h647b5c1_4, libstdcxx-ng >=11.2.0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | d76a70e7567042467e94cb4932303c8a |
| name | sentencepiece-python |
| platform | linux |
| sha1 | 0c3cd1cfe67615a32c25cad55103ffa63cb764ee |
| sha256 | e8ce43bc540a39a961393aad2c98482e78035ae9c0dfe40ce723392dcec041b1 |
| size | 3206228 |
| subdir | linux-64 |
| timestamp | 1742566846761 |
| version | 0.2.0 |