def METHOD_NAME(self, parameters):
    """Loads a efficientnet model and replaces it parameters with the ones given."""
    model = utils.load_efficientnet(classes=10)
    params_dict = zip(model.state_dict().keys(), parameters)
    state_dict = OrderedDict({k: torch.tensor(v) for k, v in params_dict})
    model.load_state_dict(state_dict, strict=True)
    return model