SK-Learn Loading Models 

You can use Pickle to load the saved model:

import pickle

loaded_model = pickle.load(open("example_model.sav", "rb"))

We can use the scaler in the loaded model to scale the input data:

input_data = loaded_model['scaler'].transform([[24, 500, 0, 0, 400,
                                                       500, 10, 1, 12, 1, 0]])

Now the data is scaled, we can get a prediction from the packaged model:

loaded_model['model'].predict_proba(input_data)[0][1]