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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 c289def3835220895086421917030418
arch x86_64
build h70df78d_3
build_number 3
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 c289def3835220895086421917030418
name libsentencepiece
platform linux
sha1 b214d5b8403429f3f7665acd820889621f9f3e9d
sha256 ee9c3078668fdf7348c4a20f49fed7a72ffdfcab2c358a90f7dffc8f36527c02
size 953509
subdir linux-64
timestamp 1741377296741
version 0.2.0