Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy.
| Uploaded | Tue Apr 1 00:30:20 2025 |
| md5 checksum | 76e07be6a45f893029f629e78a223cfd |
| arch | x86_64 |
| build | py311hdb19cb5_1 |
| build_number | 1 |
| depends | catalogue >=2.0.4,<2.1.0, confection >=0.0.1,<1.0.0, cymem >=2.0.2,<2.1.0, cython-blis >=1.0.0,<1.1.0, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, murmurhash >=1.0.2,<1.1.0, numpy >=1.19.0,<3.0.0, numpy >=1.21,<3, packaging >=20.0, preshed >=3.0.2,<3.1.0, pydantic >=1.7.4,!=1.8,!=1.8.1,<3.0.0, python >=3.11,<3.12.0a0, setuptools, srsly >=2.4.0,<3.0.0, wasabi >=0.8.1,<1.2.0 |
| license | MIT |
| license_family | MIT |
| md5 | 76e07be6a45f893029f629e78a223cfd |
| name | thinc |
| platform | linux |
| sha1 | 714db08e85aeda95879883d4f83faffdbfc1b267 |
| sha256 | 975562a6d5d9041c60f1ed0847160c930f8bc1d73e6427445b90192facc497ef |
| size | 1066989 |
| subdir | linux-64 |
| timestamp | 1742232066686 |
| version | 8.3.2 |