deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: arm64
Depends: python3 (<< 3.13), python3 (>= 3.12~), python3-catalogue, python3-confection,
python3-cymem, python3-cython-blis, python3-murmurhash, python3-numpy, python3-packaging,
python3-pkg-resources, python3-preshed, python3-pydantic, python3-srsly, python3-wasabi,
python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Description: "Practical Machine Learning for NLP in Python\n Thinc is the machine\
\ learning library powering spaCy <https://spacy.io>.\n It features a battle-tested\
\ linear model designed for large sparse\n learning problems, and a flexible neural\
\ network model under development\n for spaCy v2.0 <https://spacy.io/usage/v2>.\n\
\ .\n Thinc is a practical toolkit for implementing models that follow the\n \"\
Embed, encode, attend, predict\" architecture. It's designed to be easy\n to install,\
\ efficient for CPU usage and optimised for NLP and deep\n learning with text\
\ \u2013 in particular, hierarchically structured input\n and variable-length\
\ sequences."
Homepage: https://thinc.ai/
Installed-Size: '2914'
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Package: python3-thinc
Priority: optional
Section: python
Source: python-thinc
Version: 9.0.0-2
srcpkg_name: python-thinc
srcpkg_version: 9.0.0-2