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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 00:30:23 2025
md5 checksum 4d43492cc2d23f5748589119d02f636b
arch x86_64
build py312h6db74b5_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 >=1.26.3,<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 >=3.12,<3.13.0a0, setuptools, srsly >=2.4.0,<3.0.0, wasabi >=0.8.1,<1.2.0
license MIT
license_family MIT
md5 4d43492cc2d23f5748589119d02f636b
name thinc
platform linux
sha1 88df3e0aa40333e78b0c9c76504d0d9e6113faae
sha256 34223ab8b551e73cebaf4ca5ebc84443f6cde57a9dc3eca95bc80364fd18aacb
size 976122
subdir linux-64
timestamp 1704704168585
version 8.2.2