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 | Mon Mar 31 02:25:47 2025 |
| md5 checksum | 2f5855952dc6359070da1669f80bd260 |
| arch | x86_64 |
| build | py39hdb19cb5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 2f5855952dc6359070da1669f80bd260 |
| name | sentencepiece |
| platform | linux |
| sha1 | b223b151fe64ba738476e8ddb278cdfd623c019e |
| sha256 | 1709fdcc4257b4e0fcd7b2d27c84f470081e21b645f3c39aef05d2eeccfe2627 |
| size | 4895874 |
| subdir | linux-64 |
| timestamp | 1684523795514 |
| version | 0.1.99 |