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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