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SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [[Sennrich et al.](http://www.aclweb.org/anthology/P16-1162)]) and unigram language model [[Kudo](https://arxiv.org/abs/1804.109590)]) 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 Sun Mar 30 23:39:58 2025
md5 checksum 27a62d13616c5436e29613e7a617b534
arch x86_64
build h70df78d_2
build_number 2
depends libabseil * cxx17*, libabseil >=20240116.2,<20240116.3.0a0, libgcc-ng >=11.2.0, libprotobuf >=4.25.3,<4.25.4.0a0, libstdcxx-ng >=11.2.0
license Apache-2.0
license_family Apache
md5 27a62d13616c5436e29613e7a617b534
name libsentencepiece
platform linux
sha1 c968cea38996eab8c5a7125ef0666464ec9f878c
sha256 1e446fe56f4b673e1ddd4b884c921f59f42358385ef92b6cb670d1db3eeb34d7
size 951833
subdir linux-64
timestamp 1722874545413
version 0.2.0