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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 00:30:22 2025
md5 checksum 931c1446ce7acce1a6548347697a6124
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,<3.0.0, 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 931c1446ce7acce1a6548347697a6124
name thinc
platform linux
sha1 cce8f17c8db8adb6439d9088240b16a1ef5fabd6
sha256 f89701965fc08e6f9f5b4a473e8b1ed140cc746f531edc3221fbc4b716c44ec8
size 928182
subdir linux-64
timestamp 1704704286389
version 8.2.2