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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 Tue Apr 1 00:08:17 2025
md5 checksum 79b6373e4efcb1b80eff853be403df2f
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, libsentencepiece 0.2.0 h70df78d_2, libstdcxx-ng >=11.2.0
license Apache-2.0
license_family Apache
md5 79b6373e4efcb1b80eff853be403df2f
name sentencepiece-spm
platform linux
sha1 685351f8f424a3003485e0d3430c510dd51430a9
sha256 9a535315363968b59f51d16bb0633e9a16fe541aabceba6251f9cfedff7760f5
size 84521
subdir linux-64
timestamp 1722874698333
version 0.2.0