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 00:30:24 2025 |
md5 checksum | 70fc06f05400139780742d731795d876 |
arch | x86_64 |
build | py310h3c18c91_0 |
depends | catalogue >=2.0.4,<2.1.0, confection >=0.0.1,<1.0.0, cymem >=2.0.2,<2.1.0, cython-blis >=0.7.8,<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, packaging >=20.0, preshed >=3.0.2,<3.1.0, pydantic >=1.7.4,!=1.8,!=1.8.1,<1.11.0, python >=3.10,<3.11.0a0, setuptools, srsly >=2.4.0,<3.0.0, wasabi >=0.8.1,<1.2.0 |
license | MIT |
license_family | MIT |
md5 | 70fc06f05400139780742d731795d876 |
name | thinc |
platform | linux |
sha1 | 827ddab8a94ba95cba433c1c591fcabe162d246f |
sha256 | 3655573dc4557ab6d48ae6118549eb99dc1f7d998353e53ce2352f1fea0958e6 |
size | 923430 |
subdir | linux-64 |
timestamp | 1684244009067 |
version | 8.1.10 |