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%global _empty_manifest_terminate_build 0
%global _unpackaged_files_terminate_build 0
Name: transformers
Version: 4.39.0
Release: 1%{?dist}
Summary: Transformers provides thousands of pretrained models to perform tasks on different modalities.
License: Apache-2.0
URL: https://huggingface.co/docs/transformers/index
Source0: https://github.com/huggingface/%{name}/archive/refs/tags/v%{version}.tar.gz
Requires: python3-pytorch
Requires: python3-filelock
Requires: python3-packaging
Requires: python3-numpy
Requires: python3-pyyaml
Requires: python3-regex
Requires: python3-requests
Requires: python3-safetensors
Requires: python3-tqdm
Requires: python3-tokenizers
Requires: python3-huggingface-hub
%description
transformers is a popular library for natural language processing (NLP) tasks, especially in the domain of transfer learning for NLP. The transformers library provides pre-trained models (such as BERT, GPT, RoBERTa, etc.) that can be easily fine-tuned on custom datasets for tasks like text classification, question answering, text generation, and more.
# pkg section 1
%package -n python3-transformers
Summary: a python3-lib provides transformers functionality
Provides: python3-transformers
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-wheel
BuildRequires: python3-hatchling
BuildRequires: python3-setuptools_scm
%description -n python3-transformers
python3-transformers provides APIs for transformers realize.
# pkg section 2
%package -n help
Summary: docs for the transformers
Provides: python3-transformers-doc
%description -n help
description for the doc of the python3-transformers
%prep
%autosetup -p1 -n transformers-%{version}
%build
%pyproject_build
%install
# rm -rf $RPM_BUILD_ROOT
%pyproject_install
%files -n python3-transformers
%doc *.md
%license LICENSE
%{_bindir}/transformers-cli
%{python3_sitelib}/transformers/*
%{python3_sitelib}/transformers-%{version}.dist-info/*
%changelog
* Sat Mar 30 2024 youser<1328699220@qq.com>
- pkg init
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