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 | Mon Mar 31 02:34:48 2025 |
| md5 checksum | 66bb3a44b93d03e81020f5dcd003add0 |
| arch | x86_64 |
| build | py38h3c18c91_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 >=3.8,<3.9.0a0, 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 | 66bb3a44b93d03e81020f5dcd003add0 |
| name | spacy-transformers |
| platform | linux |
| sha1 | fb7d942bd7e52353a9c31e70acb8e0f75755044d |
| sha256 | 28933cbcd8b4f4c9926e32e3620822fe75576de3bf8da5cf60b8fdcd9aab4736 |
| size | 224162 |
| subdir | linux-64 |
| timestamp | 1720446823696 |
| version | 1.3.5 |