def get_model(url, module_name='<STR_LIT>', **kwargs):
repo_path = clone(url)<EOL>loader = ModelLoader.get()<EOL>model = loader.load(repo_path, module_name=module_name, **kwargs)<EOL>return model<EOL>
Provides utilities to download foolbox-compatible robust models
to easily test attacks against them by simply providing a git-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/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

:param url: URL to the git repository
:param module_name: the name of the module to import
:param kwargs: Optional set of parameters that will be used by the
    to be instantiated model.
:return: a foolbox-wrapped model instance