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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