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Support python 3.12 (#2605)
* running CI with python 3.12 * test tensorflow with python 3.12 * remove deprecated assertEquals * run torch 1.* tests only on python 3.8 * fix workflow * skip completion test * update skipping comment * Run CI on python 3.13 and update docs * Revert "Run CI on python 3.13 and update docs" This reverts commit e9a03bf.
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.github/workflows/build_repocard_examples.yaml

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- name: Set up Python
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uses: actions/setup-python@v2
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with:
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python-version: 3.11
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python-version: 3.12
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# Install dependencies
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- name: Configure and install dependencies

.github/workflows/python-tests.yml

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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.8", "3.11"]
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python-version: ["3.8", "3.12"]
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test_name:
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[
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"Repository only",
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"Everything else",
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"torch_1.11",
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"torch_latest",
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]
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include:
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- python-version: "3.11" # LFS not ran on 3.8
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- python-version: "3.12" # LFS not ran on 3.8
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test_name: "lfs"
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- python-version: "3.8"
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test_name: "fastai" # fastai not supported on 3.11 -> test it on 3.10
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- python-version: "3.10"
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test_name: "fastai"
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- python-version: "3.10" # fastai not supported on 3.12 and 3.11 -> test it on 3.10
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test_name: "fastai"
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- python-version: "3.8"
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test_name: "tensorflow" # Tensorflow not supported on 3.11 -> test it on 3.10
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- python-version: "3.10"
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test_name: "tensorflow"
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- python-version: "3.10" # tensorflow not supported on 3.12 -> test it on 3.10
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test_name: "tensorflow"
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- python-version: "3.8" # test torch~=1.11 on python 3.8 only.
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test_name: "Python 3.8, torch_1.11"
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uv pip install --upgrade torch
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;;
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torch_1.11)
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"Python 3.8, torch_1.11")
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uv pip install "huggingface_hub[torch] @ ."
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uv pip install torch~=1.11
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;;
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eval "$PYTEST ../tests/test_serialization.py"
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;;
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torch_1.11 | torch_latest)
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"Python 3.8, torch_1.11" | torch_latest)
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eval "$PYTEST ../tests/test_hub_mixin*"
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eval "$PYTEST ../tests/test_serialization.py"
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;;

docs/source/cn/installation.md

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pip install -e .
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```
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这些命令将你克隆存储库的文件夹与你的 Python 库路径链接起来。Python 现在将除了正常的库路径之外,还会在你克隆到的文件夹中查找。例如,如果你的 Python 包通常安装在`./.venv/lib/python3.11/site-packages/`中,Python 还会搜索你克隆的文件夹`./huggingface_hub/`
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这些命令将你克隆存储库的文件夹与你的 Python 库路径链接起来。Python 现在将除了正常的库路径之外,还会在你克隆到的文件夹中查找。例如,如果你的 Python 包通常安装在`./.venv/lib/python3.12/site-packages/`中,Python 还会搜索你克隆的文件夹`./huggingface_hub/`
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## 通过 conda 安装
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docs/source/de/installation.md

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pip install -e .
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```
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Diese Befehle verknüpfen den Ordner, in den Sie das Repository geklont haben, mit Ihren Python-Bibliothekspfaden. Python wird nun zusätzlich zu den normalen Bibliothekspfaden im geklonten Ordner suchen. Wenn Ihre Python-Pakete normalerweise in `./.venv/lib/python3.11/site-packages/` installiert sind, wird Python auch den geklonten Ordner `./huggingface_hub/` durchsuchen.
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Diese Befehle verknüpfen den Ordner, in den Sie das Repository geklont haben, mit Ihren Python-Bibliothekspfaden. Python wird nun zusätzlich zu den normalen Bibliothekspfaden im geklonten Ordner suchen. Wenn Ihre Python-Pakete normalerweise in `./.venv/lib/python3.12/site-packages/` installiert sind, wird Python auch den geklonten Ordner `./huggingface_hub/` durchsuchen.
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## Installieren mit conda
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docs/source/en/installation.md

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These commands will link the folder you cloned the repository to and your Python library paths.
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Python will now look inside the folder you cloned to in addition to the normal library paths.
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For example, if your Python packages are typically installed in `./.venv/lib/python3.11/site-packages/`,
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For example, if your Python packages are typically installed in `./.venv/lib/python3.12/site-packages/`,
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Python will also search the folder you cloned `./huggingface_hub/`.
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## Install with conda

docs/source/fr/installation.md

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Voici une liste des dépendances optionnelles dans `huggingface_hub`:
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- `cli` fournit une interface d'invite de commande plus pratique pour `huggingface_hub`.
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- `fastai`, `torch` et `tensorflow` sont des dépendances pour utiliser des fonctionnalités spécifiques à un framework.
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- `dev` permet de contribuer à la librairie. Cette dépendance inclut `testing` (pour lancer des tests), `typing` (pour lancer le vérifieur de type) et `quality` (pour lancer des linters).
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- `dev` permet de contribuer à la librairie. Cette dépendance inclut `testing` (pour lancer des tests), `typing` (pour lancer le vérifieur de type) et `quality` (pour lancer des linters).
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Python regardera maintenant à l'intérieur du dossier dans lequel vous avez cloné le dépôt en
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plus des chemins de librairie classiques. Par exemple, si vos packages Python sont installés dans
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`./.venv/lib/python3.11/site-packages/`, Python regardera aussi dans le dossier que vous avez
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`./.venv/lib/python3.12/site-packages/`, Python regardera aussi dans le dossier que vous avez
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cloné `./huggingface_hub/`.
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## Installation avec conda
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Une fois que `huggingface_hub` est installé correctement sur votre machine, vous aurez peut-être besoin de
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[configurer les variables d'environnement](package_reference/environment_variables) ou de [lire un de nos guides](guides/overview)
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pour vous lancer.
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pour vous lancer.

docs/source/hi/installation.md

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ये कमांड उस फ़ोल्डर को लिंक करेंगे जिसे आपने रिपॉजिटरी में क्लोन किया है और आपके पायथन लाइब्रेरी पथ।
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पाइथॉन अब सामान्य लाइब्रेरी पथों के अलावा आपके द्वारा क्लोन किए गए फ़ोल्डर के अंदर भी देखेगा।
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उदाहरण के लिए, यदि आपके पायथन पैकेज आमतौर पर `./.venv/lib/python3.11/site-packages/` में स्थापित हैं,
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उदाहरण के लिए, यदि आपके पायथन पैकेज आमतौर पर `./.venv/lib/python3.12/site-packages/` में स्थापित हैं,
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पायथन आपके द्वारा क्लोन किए गए फ़ोल्डर `./huggingface_hub/` को भी खोजेगा।
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## कोंडा के साथ स्थापित करें

docs/source/ko/installation.md

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이렇게 클론한 레포지토리 폴더와 Python 경로를 연결합니다.
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이제 Python은 일반적인 라이브러리 경로 외에도 복제된 폴더 내부를 찾습니다.
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예를 들어 파이썬 패키지가 일반적으로 `./.venv/lib/python3.11/site-packages/`에 설치되어 있다면, Python은 복제된 폴더 `./huggingface_hub/`도 검색하게 됩니다.
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예를 들어 파이썬 패키지가 일반적으로 `./.venv/lib/python3.12/site-packages/`에 설치되어 있다면, Python은 복제된 폴더 `./huggingface_hub/`도 검색하게 됩니다.
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## conda로 설치하기 [[install-with-conda]]
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setup.py

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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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include_package_data=True,

tests/test_init_lazy_loading.py

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class TestHuggingfaceHubInit(unittest.TestCase):
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@unittest.skip(
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reason="`jedi.Completion.get_signatures()` output differs between Python 3.12 and earlier versions, affecting test consistency"
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)
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def test_autocomplete_on_root_imports(self) -> None:
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"""Test autocomplete with `huggingface_hub` works with Jedi.
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