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 02:25:57 2025 |
| md5 checksum | a9db4412a0e9eb7363cb47a6b544c74e |
| arch | x86_64 |
| build | py38h3e0de92_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 >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | a9db4412a0e9eb7363cb47a6b544c74e |
| name | sentencepiece-python |
| platform | linux |
| sha1 | 7038b06449fd4208e011fc104efeb525034812a4 |
| sha256 | d615785bb749c412126701bf371281c978bde393729389b6cf43ac25b8da58b6 |
| size | 3220882 |
| subdir | linux-64 |
| timestamp | 1722874644380 |
| version | 0.2.0 |