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 00:08:04 2025 |
md5 checksum | 3295d26a33fef2105ba453cb0440f131 |
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 | 3295d26a33fef2105ba453cb0440f131 |
name | sentencepiece |
platform | linux |
sha1 | 83215e7aed32f141e56b3b91c67c5b49a6002d67 |
sha256 | a6c4cdeaab3620d82b707f35ca9fd9510d77ca583be5828cd8d67f61ef2dfc90 |
size | 4909132 |
subdir | linux-64 |
timestamp | 1684523677156 |
version | 0.1.99 |