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 02:25:48 2025 |
| md5 checksum | b514e8dec5299e6ccdfd61c14c1a274b |
| arch | x86_64 |
| build | py38hd09550d_0 |
| depends | libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, python >=3.8,<3.9.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | b514e8dec5299e6ccdfd61c14c1a274b |
| name | sentencepiece |
| platform | linux |
| sha1 | df205845962082378c86042eddbc0c7a81f25ebf |
| sha256 | 0c8790721cc275d2395192136ada299f12a573e319108ff540c24ca03a7f7ebc |
| size | 2739068 |
| subdir | linux-64 |
| timestamp | 1635169662536 |
| version | 0.1.95 |