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 00:14:05 2025 |
| md5 checksum | 2db508bb384b1cc29e2eac955844d2e2 |
| arch | x86_64 |
| build | py311h4cb112f_0 |
| constrains | pydantic >=1.0.0,<2.0.0 |
| depends | libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.23.5,<2.0a0, python >=3.11,<3.12.0a0, 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 | 2db508bb384b1cc29e2eac955844d2e2 |
| name | spacy-transformers |
| platform | linux |
| sha1 | 90cfc5eb73676f911f7065e7b6f7cffc0580f54a |
| sha256 | 7b679a77ceeef8ec75cdfce927e78e31b10a65e78e1b2c493f81798331b8f559 |
| size | 252014 |
| subdir | linux-64 |
| timestamp | 1720446723870 |
| version | 1.3.5 |