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 | 47acad3682522bccfae350c3a02fb2ac |
| arch | x86_64 |
| build | py39h3e0de92_3 |
| build_number | 3 |
| depends | libgcc-ng >=11.2.0, libprotobuf >=4.25.3,<4.25.4.0a0, libsentencepiece 0.2.0 h70df78d_3, libstdcxx-ng >=11.2.0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 47acad3682522bccfae350c3a02fb2ac |
| name | sentencepiece-python |
| platform | linux |
| sha1 | dd91232c6bd73b862a84f095565a495a469b955d |
| sha256 | 2cf67c5f0bbe8a379ff93576af84345c8570cc1ae4fd35138edc6a81c0793fe3 |
| size | 3206892 |
| subdir | linux-64 |
| timestamp | 1741377370799 |
| version | 0.2.0 |