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 00:08:03 2025 |
| md5 checksum | f49da29690346f8c31ec8977cdce18ae |
| arch | x86_64 |
| build | py310hdb19cb5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, python >=3.10,<3.11.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | f49da29690346f8c31ec8977cdce18ae |
| name | sentencepiece |
| platform | linux |
| sha1 | ec14116a0297a0a36a9e8bbde4a5444c46b92629 |
| sha256 | 51e19f87e0b163a7c7c256dbc6aedd7177d7a2aa38cedd8b1ab297526d0481b8 |
| size | 4901040 |
| subdir | linux-64 |
| timestamp | 1684524034525 |
| version | 0.1.99 |