- Use autosetup macro. - Dedupe the Suggests list. - List directories explicitly under %files. OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-transformers?expand=0&rev=9
169 lines
6.0 KiB
RPMSpec
169 lines
6.0 KiB
RPMSpec
#
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# spec file for package python-transformers
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#
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# Copyright (c) 2025 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?sle15_python_module_pythons}
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Name: python-transformers
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Version: 4.44.2
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Release: 0
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Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
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License: Apache-2.0
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URL: https://github.com/huggingface/transformers
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Source: https://github.com/huggingface/transformers/archive/refs/tags/v%{version}.tar.gz#/%{name}-%{version}.tar.gz
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Source99: python-transformers.rpmlintrc
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Patch0: 0001-Remove-upper-bound-for-tokenizers.patch
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BuildRequires: %{python_module PyYAML >= 5.1}
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BuildRequires: %{python_module filelock}
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BuildRequires: %{python_module huggingface-hub >= 0.23.2}
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BuildRequires: %{python_module numpy >= 1.17}
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BuildRequires: %{python_module packaging >= 20.0}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module regex}
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BuildRequires: %{python_module requests}
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BuildRequires: %{python_module safetensors >= 0.4.1}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module tokenizers >= 0.19}
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BuildRequires: %{python_module torch}
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BuildRequires: %{python_module tqdm >= 4.27}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-PyYAML >= 5.1
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Requires: python-filelock
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Requires: python-huggingface-hub >= 0.23.2
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Requires: python-numpy >= 1.17
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Requires: python-packaging >= 20.0
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Requires: python-regex
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Requires: python-requests
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Requires: python-safetensors >= 0.4.1
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Requires: python-tokenizers >= 0.19
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Requires: python-tqdm >= 4.27
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Suggests: python-accelerate >= 0.21.0
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Suggests: python-av = 9.2.0
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Suggests: python-beautifulsoup4
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Suggests: python-codecarbon = 1.2.0
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Suggests: python-datasets
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Suggests: python-decord = 0.6.0
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Suggests: python-deepspeed >= 0.9.3
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Suggests: python-diffusers
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Suggests: python-faiss-cpu
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Suggests: python-fastapi
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Suggests: python-filelock
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Suggests: python-flax >= 0.4.1
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Suggests: python-ftfy
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Suggests: python-fugashi >= 1.0
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Suggests: python-GitPython < 3.1.19
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Suggests: python-huggingface_hub >= 0.23.2
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Suggests: python-importlib_metadata
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Suggests: python-ipadic >= 1.0.0
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Suggests: python-jax >= 0.4.1
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Suggests: python-jaxlib >= 0.4.1
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Suggests: python-kenlm
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Suggests: python-keras > 2.9
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Suggests: python-keras-nlp >= 0.3.1
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Suggests: python-librosa
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Suggests: python-natten >= 0.14.6
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Suggests: python-nltk
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Suggests: python-numpy >= 1.17
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Suggests: python-onnxconverter-common
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Suggests: python-onnxruntime >= 1.4.0
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Suggests: python-onnxruntime-tools >= 1.4.2
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Suggests: python-opencv-python
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Suggests: python-optax >= 0.0.8
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Suggests: python-optimum-benchmark >= 0.2.0
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Suggests: python-optuna
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Suggests: python-packaging >= 20.0
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Suggests: python-phonemizer
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Suggests: python-protobuf
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Suggests: python-psutil
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Suggests: python-pyctcdecode >= 0.4.0
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Suggests: python-pydantic
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Suggests: python-ray >= 2.7.0
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Suggests: python-regex
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Suggests: python-requests
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Suggests: python-rhoknp >= 1.1.0
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Suggests: python-rjieba
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Suggests: python-rouge-score
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Suggests: python-sacrebleu >= 1.4.12
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Suggests: python-sacremoses
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Suggests: python-sagemaker >= 2.31.0
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Suggests: python-scikit-learn
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Suggests: python-scipy < 1.13.0
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Suggests: python-sentencepiece >= 0.1.91
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Suggests: python-starlette
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Suggests: python-sudachidict_core >= 20220729
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Suggests: python-sudachipy >= 0.6.6
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Suggests: python-tensorboard
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Suggests: python-tensorflow > 2.9
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Suggests: python-tensorflow-cpu > 2.9
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Suggests: python-tensorflow-probability < 0.24
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Suggests: python-tensorflow-text < 2.16
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Suggests: python-timeout-decorator
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Suggests: python-timm <= 0.9.16
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Suggests: python-tokenizers >= 0.19
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Suggests: python-torch
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Suggests: python-torchaudio
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Suggests: python-torchvision
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Suggests: python-tqdm >= 4.27
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Suggests: python-unidic >= 1.0.2
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Suggests: python-unidic_lite >= 1.0.7
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Suggests: python-urllib3 < 2.0.0
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Suggests: python-uvicorn
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BuildArch: noarch
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%python_subpackages
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%description
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Transformers provides thousands of pretrained models to perform tasks on
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different modalities such as text, vision, and audio.
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These models can be applied on:
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* Text, for tasks like text classification, information extraction, question
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answering, summarization, translation, and text generation, in over 100
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languages.
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* Images, for tasks like image classification, object detection,
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and segmentation.
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* Audio, for tasks like speech recognition and audio
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classification.
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%prep
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%autosetup -p1 -n transformers-%{version}
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# fix shebang
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find . -name \*.py -type f -exec \
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sed -i "s|^#!\s*%{_bindir}/env python|#!%{_bindir}/python3|" {} \;
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%build
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%pyproject_wheel
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%install
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%pyproject_install
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%python_clone -a %{buildroot}%{_bindir}/transformers-cli
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%post
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%python_install_alternative transformers-cli
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%postun
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%python_uninstall_alternative transformers-cli
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%files %{python_files}
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%doc README.md
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%license LICENSE
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%python_alternative %{_bindir}/transformers-cli
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%{python_sitelib}/transformers
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%{python_sitelib}/transformers-%{version}.dist-info
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%changelog
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