%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