This package provides spaCy components and architectures to use transformer models via Hugging Face's transformers in spaCy. The result is convenient access to state-of-the-art transformer architectures, such as BERT, GPT-2, XLNet, etc.
| Uploaded | Tue Apr 1 00:14:04 2025 |
| md5 checksum | b5a942cb77c6717470dfff8e5c74d0f3 |
| arch | x86_64 |
| build | py310h3c18c91_0 |
| constrains | pydantic >=1.0.0,<2.0.0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.6,<2.0a0, python >=3.10,<3.11.0a0, pytorch >=1.8.0, spacy >=3.5.0,<4.1.0, spacy-alignments >=0.7.2,<1.0.0, srsly >=2.4.0,<3.0.0, transformers >=3.4.0,<4.42.0 |
| license | MIT |
| license_family | MIT |
| md5 | b5a942cb77c6717470dfff8e5c74d0f3 |
| name | spacy-transformers |
| platform | linux |
| sha1 | bbb727ce6274d1dfe9484e8df1b859d81cbbc722 |
| sha256 | 4dbf278db928140cb9485afc4ab068dc65024aa8d6bad85655801cc9498191fb |
| size | 223015 |
| subdir | linux-64 |
| timestamp | 1720446612859 |
| version | 1.3.5 |