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 02:25:49 2025 |
| md5 checksum | 54d65074e36f5e0f66fdbc28b6924800 |
| arch | x86_64 |
| build | py39hd09550d_0 |
| depends | libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, python >=3.9,<3.10.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 54d65074e36f5e0f66fdbc28b6924800 |
| name | sentencepiece |
| platform | linux |
| sha1 | 44df3e7845c8ed02790304a57e8f87b9a36eb554 |
| sha256 | 6e3fae5b9153c5ae91a4b7778dc74a460b0af6ea5456889002aa4ff0a294eaa2 |
| size | 2693190 |
| subdir | linux-64 |
| timestamp | 1635181246668 |
| version | 0.1.95 |