text: """
  The ``mlflow.models`` module provides an API for saving machine learning models in
  "flavors" that can be understood by different downstream tools.
  
  The built-in flavors are:
  
  - :py:mod:`mlflow.pyfunc`
  - :py:mod:`mlflow.h2o`
  - :py:mod:`mlflow.keras`
  - :py:mod:`mlflow.lightgbm`
  - :py:mod:`mlflow.pytorch`
  - :py:mod:`mlflow.sklearn`
  - :py:mod:`mlflow.spark`
  - :py:mod:`mlflow.statsmodels`
  - :py:mod:`mlflow.tensorflow`
  - :py:mod:`mlflow.xgboost`
  - :py:mod:`mlflow.spacy`
  - :py:mod:`mlflow.fastai`
  - :py:mod:`mlflow.paddle`
  
  For details, see `MLflow Models <../models.html>`_.
  """
  
  from .model import Model
  from .flavor_backend import FlavorBackend
  from ..utils.environment import infer_pip_requirements
  from .evaluation import evaluate, EvaluationDataset
  
  __all__ = [
      "Model",
      "FlavorBackend",
      "infer_pip_requirements",
      "evaluate",
      "EvaluationDataset",
  ]
  
  
  # Under skinny-mlflow requirements, the following packages cannot be imported
  # because of lack of numpy/pandas library, so wrap them with try...except block
  try:
      from .signature import ModelSignature, infer_signature  # pylint: disable=unused-import
      from .utils import ModelInputExample  # pylint: disable=unused-import
  
      __all__ += [
          "ModelSignature",
          "ModelInputExample",
          "infer_signature",
      ]
  except ImportError:
      pass
  