code: def get_model(
      url: str,
      module_name: str = "foolbox_model",
      overwrite: bool = False,
      **kwargs: Any,
  ) -> Model:
      """Download a Foolbox-compatible model from the given Git repository URL.
  
      Examples
      --------
  
      Instantiate a model:
  
      >>> from foolbox import zoo
      >>> url = "https://github.com/bveliqi/foolbox-zoo-dummy.git"
      >>> model = zoo.get_model(url)  # doctest: +SKIP
  
      Only works with a foolbox-zoo compatible repository.
      I.e. models need to have a `foolbox_model.py` file
      with a `create()`-function, which returns a foolbox-wrapped model.
  
      Using the kwargs parameter it is possible to input an arbitrary number
      of parameters to this methods call. These parameters are forwarded to
      the instantiated model.
  
      Example repositories:
  
          - https://github.com/jonasrauber/foolbox-tensorflow-keras-applications
          - https://github.com/bethgelab/AnalysisBySynthesis
          - https://github.com/bethgelab/mnist_challenge
          - https://github.com/bethgelab/cifar10_challenge
          - https://github.com/bethgelab/convex_adversarial
          - https://github.com/wielandbrendel/logit-pairing-foolbox.git
          - https://github.com/bethgelab/defensive-distillation.git
  
      Args:
          url: URL to the git repository.
          module_name: The name of the module to import.
          kwargs: Optional set of parameters that will be used by the to be instantiated model.
  
      Returns:
          A Foolbox-wrapped model instance.
      """
      repo_path = clone(url, overwrite=overwrite)
      loader = ModelLoader.get()
      model = loader.load(repo_path, module_name=module_name, **kwargs)
      return model
  
imports: from typing import Any
  from ..models import Model
  from .git_cloner import clone
  from .model_loader import ModelLoader
label_desc: Use image node_id 1 for calling a global function with example usage: get_model(url, module_name, overwrite) and returns: model