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diff --git a/python-huggingface-hub.spec b/python-huggingface-hub.spec new file mode 100644 index 0000000..c65d738 --- /dev/null +++ b/python-huggingface-hub.spec @@ -0,0 +1,273 @@ +%global _empty_manifest_terminate_build 0 +Name: python-huggingface-hub +Version: 0.13.4 +Release: 1 +Summary: Client library to download and publish models, datasets and other repos on the huggingface.co hub +License: Apache +URL: https://github.com/huggingface/huggingface_hub +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ef/99/b47e4639754dcc98a4b4b7df370341d8b86b0799d361efe30334907e3be2/huggingface_hub-0.13.4.tar.gz +BuildArch: noarch + +Requires: python3-filelock +Requires: python3-requests +Requires: python3-tqdm +Requires: python3-pyyaml +Requires: python3-typing-extensions +Requires: python3-packaging +Requires: python3-importlib-metadata +Requires: python3-InquirerPy +Requires: python3-jedi +Requires: python3-Jinja2 +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-env +Requires: python3-pytest-xdist +Requires: python3-soundfile +Requires: python3-Pillow +Requires: python3-black +Requires: python3-ruff +Requires: python3-mypy +Requires: python3-types-PyYAML +Requires: python3-types-requests +Requires: python3-types-simplejson +Requires: python3-types-toml +Requires: python3-types-tqdm +Requires: python3-types-urllib3 +Requires: python3-InquirerPy +Requires: python3-InquirerPy +Requires: python3-jedi +Requires: python3-Jinja2 +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-env +Requires: python3-pytest-xdist +Requires: python3-soundfile +Requires: python3-Pillow +Requires: python3-black +Requires: python3-ruff +Requires: python3-mypy +Requires: python3-types-PyYAML +Requires: python3-types-requests +Requires: python3-types-simplejson +Requires: python3-types-toml +Requires: python3-types-tqdm +Requires: python3-types-urllib3 +Requires: python3-toml +Requires: python3-fastai +Requires: python3-fastcore +Requires: python3-black +Requires: python3-ruff +Requires: python3-mypy +Requires: python3-tensorflow +Requires: python3-pydot +Requires: python3-graphviz +Requires: python3-InquirerPy +Requires: python3-jedi +Requires: python3-Jinja2 +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-env +Requires: python3-pytest-xdist +Requires: python3-soundfile +Requires: python3-Pillow +Requires: python3-torch +Requires: python3-types-PyYAML +Requires: python3-types-requests +Requires: python3-types-simplejson +Requires: python3-types-toml +Requires: python3-types-tqdm +Requires: python3-types-urllib3 + +%description +# `huggingface_hub` + +<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a> +<a href="https://codecov.io/gh/huggingface/huggingface_hub"><img alt="Code coverage" src="https://codecov.io/gh/huggingface/huggingface_hub/branch/main/graph/badge.svg?token=RXP95LE2XL"></a> +<a href="https://github.com/huggingface/huggingface_hub/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/huggingface_hub.svg"></a> +<a href="https://github.com/huggingface/huggingface_hub"><img alt="Documentation" src="https://img.shields.io/pypi/pyversions/huggingface_hub.svg"></a> +<a href="https://huggingface.co/docs/huggingface_hub/index"><img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/docs/huggingface_hub/index.svg?down_color=red&down_message=offline&up_message=online&label=doc"></a> + +## Welcome to the huggingface_hub library + + +The `huggingface_hub` is a client library to interact with the Hugging Face Hub. The Hugging Face Hub is a platform with over 90K models, 14K datasets, and 12K demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. + +With `huggingface_hub`, you can easily download and upload models, datasets, and Spaces. You can extract useful information from the Hub, and do much more. Some example use cases: +* Downloading and caching files from a Hub repository. +* Creating repositories and uploading an updated model every few epochs. +* Extract metadata from all models that match certain criteria (e.g. models for `text-classification`). +* List all files from a specific repository. + +Read all about it in [the library documentation](https://huggingface.co/docs/huggingface_hub). + +<br> + +## Integrating to the Hub. + +We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations [here](https://huggingface.co/docs/hub/libraries). + +The advantages are: + +- Free model or dataset hosting for libraries and their users. +- Built-in file versioning, even with very large files, thanks to a git-based approach. +- Hosted inference API for all models publicly available. +- In-browser widgets to play with the uploaded models. +- Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable. +- Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe. +- Usage stats and more features to come. + +If you would like to integrate your library, feel free to open an issue to begin the discussion. We wrote a [step-by-step guide](https://huggingface.co/docs/hub/adding-a-library) with โค๏ธ showing how to do this integration. + +<br> + +## Feedback (feature requests, bugs, etc.) is super welcome ๐๐๐๐โฅ๏ธ๐งก + + + + +%package -n python3-huggingface-hub +Summary: Client library to download and publish models, datasets and other repos on the huggingface.co hub +Provides: python-huggingface-hub +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-huggingface-hub +# `huggingface_hub` + +<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a> +<a href="https://codecov.io/gh/huggingface/huggingface_hub"><img alt="Code coverage" src="https://codecov.io/gh/huggingface/huggingface_hub/branch/main/graph/badge.svg?token=RXP95LE2XL"></a> +<a href="https://github.com/huggingface/huggingface_hub/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/huggingface_hub.svg"></a> +<a href="https://github.com/huggingface/huggingface_hub"><img alt="Documentation" src="https://img.shields.io/pypi/pyversions/huggingface_hub.svg"></a> +<a href="https://huggingface.co/docs/huggingface_hub/index"><img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/docs/huggingface_hub/index.svg?down_color=red&down_message=offline&up_message=online&label=doc"></a> + +## Welcome to the huggingface_hub library + + +The `huggingface_hub` is a client library to interact with the Hugging Face Hub. The Hugging Face Hub is a platform with over 90K models, 14K datasets, and 12K demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. + +With `huggingface_hub`, you can easily download and upload models, datasets, and Spaces. You can extract useful information from the Hub, and do much more. Some example use cases: +* Downloading and caching files from a Hub repository. +* Creating repositories and uploading an updated model every few epochs. +* Extract metadata from all models that match certain criteria (e.g. models for `text-classification`). +* List all files from a specific repository. + +Read all about it in [the library documentation](https://huggingface.co/docs/huggingface_hub). + +<br> + +## Integrating to the Hub. + +We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations [here](https://huggingface.co/docs/hub/libraries). + +The advantages are: + +- Free model or dataset hosting for libraries and their users. +- Built-in file versioning, even with very large files, thanks to a git-based approach. +- Hosted inference API for all models publicly available. +- In-browser widgets to play with the uploaded models. +- Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable. +- Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe. +- Usage stats and more features to come. + +If you would like to integrate your library, feel free to open an issue to begin the discussion. We wrote a [step-by-step guide](https://huggingface.co/docs/hub/adding-a-library) with โค๏ธ showing how to do this integration. + +<br> + +## Feedback (feature requests, bugs, etc.) is super welcome ๐๐๐๐โฅ๏ธ๐งก + + + + +%package help +Summary: Development documents and examples for huggingface-hub +Provides: python3-huggingface-hub-doc +%description help +# `huggingface_hub` + +<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a> +<a href="https://codecov.io/gh/huggingface/huggingface_hub"><img alt="Code coverage" src="https://codecov.io/gh/huggingface/huggingface_hub/branch/main/graph/badge.svg?token=RXP95LE2XL"></a> +<a href="https://github.com/huggingface/huggingface_hub/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/huggingface_hub.svg"></a> +<a href="https://github.com/huggingface/huggingface_hub"><img alt="Documentation" src="https://img.shields.io/pypi/pyversions/huggingface_hub.svg"></a> +<a href="https://huggingface.co/docs/huggingface_hub/index"><img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/docs/huggingface_hub/index.svg?down_color=red&down_message=offline&up_message=online&label=doc"></a> + +## Welcome to the huggingface_hub library + + +The `huggingface_hub` is a client library to interact with the Hugging Face Hub. The Hugging Face Hub is a platform with over 90K models, 14K datasets, and 12K demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. + +With `huggingface_hub`, you can easily download and upload models, datasets, and Spaces. You can extract useful information from the Hub, and do much more. Some example use cases: +* Downloading and caching files from a Hub repository. +* Creating repositories and uploading an updated model every few epochs. +* Extract metadata from all models that match certain criteria (e.g. models for `text-classification`). +* List all files from a specific repository. + +Read all about it in [the library documentation](https://huggingface.co/docs/huggingface_hub). + +<br> + +## Integrating to the Hub. + +We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations [here](https://huggingface.co/docs/hub/libraries). + +The advantages are: + +- Free model or dataset hosting for libraries and their users. +- Built-in file versioning, even with very large files, thanks to a git-based approach. +- Hosted inference API for all models publicly available. +- In-browser widgets to play with the uploaded models. +- Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable. +- Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe. +- Usage stats and more features to come. + +If you would like to integrate your library, feel free to open an issue to begin the discussion. We wrote a [step-by-step guide](https://huggingface.co/docs/hub/adding-a-library) with โค๏ธ showing how to do this integration. + +<br> + +## Feedback (feature requests, bugs, etc.) is super welcome ๐๐๐๐โฅ๏ธ๐งก + + + + +%prep +%autosetup -n huggingface-hub-0.13.4 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +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}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-huggingface-hub -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.13.4-1 +- Package Spec generated |