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 | Tue Apr 1 00:08:05 2025 |
| md5 checksum | 2733080ca34aada3b1a06db6ff6e4ab7 |
| arch | x86_64 |
| build | py312hdb19cb5_0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, python >=3.12,<3.13.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 2733080ca34aada3b1a06db6ff6e4ab7 |
| name | sentencepiece |
| platform | linux |
| sha1 | 793b8dd469e2a5758241becc6aa65623646f61df |
| sha256 | 716af1306d48eca149cc92e7773201768f00cc53f6633b9884cb5c133d7c177d |
| size | 3506756 |
| subdir | linux-64 |
| timestamp | 1698901406860 |
| version | 0.1.99 |