import pickle


def load_clf(trained_mod):
    """Load a trained model from pickle file.
    
    Args:
        trained_mod (str): file path to pickle file.

    Returns:
        sklearn.classifier: A trained sklearn classifier.
    """

    # save model with open(wb) + pickle.dump.
    with open(trained_mod, 'rb') as file:
        model = pickle.load(file)

    return model