SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) 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 00:08:07 2025 |
| md5 checksum | ba1eda76a95defecc2b2dcd61fc0d7a4 |
| arch | x86_64 |
| build | py311hdb19cb5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, python >=3.11,<3.12.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | ba1eda76a95defecc2b2dcd61fc0d7a4 |
| name | sentencepiece |
| platform | linux |
| sha1 | a8a05d964e9c1c11f09d3b974e7bd04e2c5e0752 |
| sha256 | fa4625c9e0d06604ff4262c485f8bd87e908a7be96bb7e29e71156e4aa7a4b48 |
| size | 3371255 |
| subdir | linux-64 |
| timestamp | 1676862110603 |
| version | 0.1.95 |