DockerにてGCP AutoML Tablesのモデルサーバコンテナを起動するとエラーが出る

Question

前提・実現したいこと

GCP(Google Cloud Platform)のAutoML Tablesで作成したモデルをDocker上で起動させ、Dockerコンテナに対してリクエストを発行することで応答を得ようとしています。
参考サイト：モデルのエクスポート(Google Cloud)

以下のコマンドにて起動しようとしています。

sudo docker run -v /mnt/ShareDir/GCP/Models/:/models/Qickstart_Model -p 8080:8080 -it gcr.io/cloud-automl-tables-public/model_server

※Qickstart_Model が試しに作成したGCP AutoML Tablesのモデルです
※/mnt/***はモデルを格納したフォルダです。/mnt/ShareDir/GCP/Models/1 以下にassetなど、モデルの実態を格納しています。

しかし下記に示すエラーメッセージが表示され、起動することができません。

発生している問題・エラーメッセージ

/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
Traceback (most recent call last):
  File "/launcher.py", line 200, in <module>
    main()
  File "/launcher.py", line 193, in main
    run_ucaip_prediction_server()
  File "/launcher.py", line 132, in run_ucaip_prediction_server
    server_metadata.ParseFromString(f.read())
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/lib/io/file_io.py", line 122, in read
    self._preread_check()
  File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/lib/io/file_io.py", line 84, in _preread_check
    compat.as_bytes(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: /models/default/tables_server_metadata.pb; No such file or directory

試したこと

原因の切り分けのためにモデルのマウントを以下のとおりやめてみましたが動作は変わりませんでした。

sudo docker run -p 8501:8501  -it gcr.io/cloud-automl-tables-public/model_server

なお、エラーメッセージ中に表示されているPythonは古いバージョンですが、コンテナイメージ自体は上記参考サイト記載のコマンドを利用し取得したばかりです。

補足情報（FW/ツールのバージョンなど）

環境は以下の通りです。
・Ubuntu 20.04をWindows10のHyper-V上で実行