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+/huggingface_hub-0.13.4.tar.gz
diff --git a/python-huggingface-hub.spec b/python-huggingface-hub.spec
new file mode 100644
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+%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 โค๏ธ showing how to do this integration.
+
+<br>
+
+## Feedback (feature requests, bugs, etc.) is super welcome ๐Ÿ’™๐Ÿ’š๐Ÿ’›๐Ÿ’œโ™ฅ๏ธ๐Ÿงก
+
+
+
+
+%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 โค๏ธ showing how to do this integration.
+
+<br>
+
+## Feedback (feature requests, bugs, etc.) is super welcome ๐Ÿ’™๐Ÿ’š๐Ÿ’›๐Ÿ’œโ™ฅ๏ธ๐Ÿงก
+
+
+
+
+%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 โค๏ธ showing how to do this integration.
+
+<br>
+
+## Feedback (feature requests, bugs, etc.) is super welcome ๐Ÿ’™๐Ÿ’š๐Ÿ’›๐Ÿ’œโ™ฅ๏ธ๐Ÿงก
+
+
+
+
+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..ba4e51c
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2f0128504d112d8854732e64a96f7399 huggingface_hub-0.13.4.tar.gz