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 00:30:26 2025 |
| md5 checksum | 31d7afd5d82b7b2babf5e0ee10dff8cd |
| arch | x86_64 |
| build | py310h3c18c91_1 |
| build_number | 1 |
| depends | catalogue >=2.0.4,<2.1.0, cymem >=2.0.2,<2.1.0, cython-blis >=0.4.0,<0.8.0, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, murmurhash >=1.0.2,<1.1.0, numpy >=1.21.5,<2.0a0, preshed >=3.0.2,<3.1.0, pydantic >=1.7.4,!=1.8,!=1.8.1,<1.9.0, python >=3.10,<3.11.0a0, setuptools, srsly >=2.4.0,<3.0.0, wasabi >=0.8.1,<1.1.0 |
| license | MIT |
| license_family | MIT |
| md5 | 31d7afd5d82b7b2babf5e0ee10dff8cd |
| name | thinc |
| platform | linux |
| sha1 | 451e6c30943efd9856ed877aa0c5b3a56b677e57 |
| sha256 | 788a3c7d50be748828fc7ebe3a9dc4970f6120b7844d4e24016acb017aae29a0 |
| size | 783178 |
| subdir | linux-64 |
| timestamp | 1683888970505 |
| version | 8.0.15 |