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%global _empty_manifest_terminate_build 0
Name: transformers
Version: 4.37.1
Release: 1
Summary: State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow
License: Apache-2.0
URL: https://huggingface.co/transformers
Source0: https://github.com/huggingface/transformers/archive/refs/tags/v%{version}.tar.gz
BuildRequires: g++
Requires: python3-pytorch
Requires: python3-numpy
Requires: python3-regex
Requires: python3-filelock
Requires: python3-tqdm
Requires: python3-huggingface-hub
Requires: python3-safetensors
Requires: python3-tokenizers
Requires: python3-pyyaml
Requires: python3-requests
%description
Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
These models can be applied on:
- Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages.
- Images, for tasks like image classification, object detection, and segmentation.
- Audio, for tasks like speech recognition and audio classification.
%package -n python3-transformers
Summary: State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow
Provides: python-transformers
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-setuptools_scm
BuildRequires: python3-pbr
BuildRequires: python3-pip
BuildRequires: python3-wheel
BuildRequires: python3-hatchling
%description -n python3-transformers
Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
These models can be applied on:
- Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages.
- Images, for tasks like image classification, object detection, and segmentation.
- Audio, for tasks like speech recognition and audio classification.
%package help
Summary: Development documents and examples for transformers
Provides: python3-transformers-doc
%description help
Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
These models can be applied on:
- Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages.
- Images, for tasks like image classification, object detection, and segmentation.
- Audio, for tasks like speech recognition and audio classification.
%prep
%autosetup -p1 -n %{name}-%{version}
%build
%pyproject_build
%install
%pyproject_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/doclist.lst .
%files -n python3-transformers
%doc *.md
%license LICENSE
%{_bindir}/transformers-cli
%{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 4.37.1-1
- Package init
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