SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) 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 02:25:46 2025 |
| md5 checksum | 7b13e46fe054bdde6cc6f2943a754ae4 |
| arch | x86_64 |
| build | py38hdb19cb5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 7b13e46fe054bdde6cc6f2943a754ae4 |
| name | sentencepiece |
| platform | linux |
| sha1 | 474c0ad9ce4a3991afd44da563e60896a8764596 |
| sha256 | 9b30507fd15ed15ae973283bc99a4c0e172fdc2fb39ff53fc4824e17217959b7 |
| size | 4896184 |
| subdir | linux-64 |
| timestamp | 1684523914713 |
| version | 0.1.99 |