×

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 b9eabe82a33200376df2ab5dea6e31e9
arch x86_64
build py311h4cb112f_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 >=1.23.5,<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 >=3.11,<3.12.0a0, setuptools, srsly >=2.4.0,<3.0.0, wasabi >=0.8.1,<1.2.0
license MIT
license_family MIT
md5 b9eabe82a33200376df2ab5dea6e31e9
name thinc
platform linux
sha1 a31528dcb50610c81202109b223ac6cd9571b32b
sha256 7224616922de65e31accfbe6b870f732dde75568ad09b0fa6a9951b436cb3814
size 1060933
subdir linux-64
timestamp 1684243911944
version 8.1.10