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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 02:25:52 2025
md5 checksum c02b5381dcb7a059b9c721fb54cd3173
arch x86_64
build py310h3e0de92_3
build_number 3
depends libgcc-ng >=11.2.0, libprotobuf >=4.25.3,<4.25.4.0a0, libsentencepiece 0.2.0 h70df78d_3, libstdcxx-ng >=11.2.0, python >=3.10,<3.11.0a0
license Apache-2.0
license_family Apache
md5 c02b5381dcb7a059b9c721fb54cd3173
name sentencepiece-python
platform linux
sha1 f8dabf8e7a6ea963e87b7719583d1ded196ae6e0
sha256 72212964432eb23bb7ad86ed58cc9573ee28f3535894c6a73f25efb0eb3fa8bf
size 3207210
subdir linux-64
timestamp 1741377334020
version 0.2.0