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  1. docs/en/docs/tutorial/path-params.md

    !!! tip
        If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.
    
    ### Declare a *path parameter*
    
    Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):
    
    ```Python hl_lines="16"
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  2. docs/fr/docs/tutorial/path-params.md

    !!! tip "Astuce"
        Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning.
    
    ### Déclarer un paramètre de chemin
    
    Créez ensuite un *paramètre de chemin* avec une annotation de type désignant l'énumération créée précédemment (`ModelName`) :
    
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  3. docs/en/docs/release-notes.md

    * Add [deployment documentation for Docker in Raspberry Pi](https://fastapi.tiangolo.com/deployment/#raspberry-pi-and-other-architectures) and other architectures.
    
    * Trigger Docker images build on Travis CI automatically. PR [#65](https://github.com/tiangolo/fastapi/pull/65).
    
    ## 0.7.0
    
    * Add support for `UploadFile` in `File` parameter annotations.
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  4. docs/em/docs/tutorial/path-params.md

    !!! tip
        🚥 👆 💭, "📊", "🎓", &amp; "🍏" 📛 🎰 🏫 <abbr title="Technically, Deep Learning model architectures">🏷</abbr>.
    
    ### 📣 *➡ 🔢*
    
    ⤴️ ✍ *➡ 🔢* ⏮️ 🆎 ✍ ⚙️ 🔢 🎓 👆 ✍ (`ModelName`):
    
    ```Python hl_lines="16"
    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    ### ✅ 🩺
    
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  5. docs/ja/docs/tutorial/path-params.md

    !!! tip "豆知識"
        "AlexNet"、"ResNet"そして"LeNet"は機械学習<abbr title="Technically, Deep Learning model architectures">モデル</abbr>の名前です。
    
    ### *パスパラメータ*の宣言
    
    次に、作成したenumクラスである`ModelName`を使用した型アノテーションをもつ*パスパラメータ*を作成します:
    
    ```Python hl_lines="16"
    {!../../../docs_src/path_params/tutorial005.py!}
    ```
    
    ### ドキュメントの確認
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