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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 Mon Mar 31 02:25:57 2025
md5 checksum b7b9da9f3bfdc511aba539dfd2cd7e48
arch x86_64
build py39h3e0de92_2
build_number 2
depends libgcc-ng >=11.2.0, libprotobuf >=4.25.3,<4.25.4.0a0, libsentencepiece 0.2.0 h70df78d_2, libstdcxx-ng >=11.2.0, python >=3.9,<3.10.0a0
license Apache-2.0
license_family Apache
md5 b7b9da9f3bfdc511aba539dfd2cd7e48
name sentencepiece-python
platform linux
sha1 336a87643e4bdcc6b061c2782b90f853346e7b29
sha256 160e933039eb2a45952e0d31e6f10f57989429845b66103f07c7ad095e840986
size 3215263
subdir linux-64
timestamp 1722874563911
version 0.2.0