%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