%global pypi_name transformers Name: python-%{pypi_name} # optimum-intel 2.2 supports transformers < 5.6 Version: 5.5.4 Release: 1%{?dist} Summary: State-of-the-art machine learning models for PyTorch License: Apache-2.0 URL: https://github.com/huggingface/transformers Source: %{pypi_source %{pypi_name}} BuildArch: noarch BuildRequires: python3-devel %global _description %{expand: Transformers provides model definitions, pretrained-weight loading and tokenization for text, vision, audio and multimodal models from the Hugging Face Hub, for inference and training.} %description %_description %package -n python3-%{pypi_name} Summary: %{summary} Recommends: python3-torch %description -n python3-%{pypi_name} %_description %prep %autosetup -n %{pypi_name}-%{version} # Fedora's tokenizers 0.23.1 is a bugfix release of the supported 0.23 series sed -i 's/"tokenizers>=0.22.0,<=0.23.0"/"tokenizers>=0.22.0,<0.24"/' setup.py \ src/transformers/dependency_versions_table.py %generate_buildrequires %pyproject_buildrequires %build %pyproject_wheel %install %pyproject_install %pyproject_save_files -l %{pypi_name} %check %pyproject_check_import -t %files -n python3-%{pypi_name} -f %{pyproject_files} %doc README.md %{_bindir}/transformers %changelog * Wed Oct 07 2026 Onuralp SEZER - 5.5.4-1 - Initial package