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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 00:30:26 2025
md5 checksum 13ab15675244e3858ba585088d3c4133
arch x86_64
build py311h4cb112f_1
build_number 1
depends catalogue >=2.0.4,<2.1.0, cymem >=2.0.2,<2.1.0, cython-blis >=0.4.0,<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, preshed >=3.0.2,<3.1.0, pydantic >=1.7.4,!=1.8,!=1.8.1,<1.9.0, python >=3.11,<3.12.0a0, setuptools, srsly >=2.4.0,<3.0.0, wasabi >=0.8.1,<1.1.0
license MIT
license_family MIT
md5 13ab15675244e3858ba585088d3c4133
name thinc
platform linux
sha1 555cf5774045f09f4355200b8dba3b825c6c4b1f
sha256 8f5b0ef996f22c7f908d85efc22055cc52befc31d089c484f6b5153f7caaa25d
size 921387
subdir linux-64
timestamp 1683888799779
version 8.0.15