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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 02:25:55 2025
md5 checksum 750525e9f8a3331e274a8c4eb0bda97e
arch x86_64
build py311hdb19cb5_4
build_number 4
depends libgcc-ng >=11.2.0, libprotobuf >=5.29.3,<5.29.4.0a0, libsentencepiece 0.2.0 h647b5c1_4, libstdcxx-ng >=11.2.0, python >=3.11,<3.12.0a0
license Apache-2.0
license_family Apache
md5 750525e9f8a3331e274a8c4eb0bda97e
name sentencepiece-python
platform linux
sha1 0ec9ce7b29dc707107ab5fa4fdffc3f2c07f2fa3
sha256 422476e0fcedac4c88fdb5d428a91573fdcd34dd5507bb9a319660034b5b2d36
size 3213919
subdir linux-64
timestamp 1742566900544
version 0.2.0