Getting to other parameter sets from GridSearchCV in sklearn
If the parameter refit is set to True, the GridSearchCV object will have the attributes best_estimator_, best_score_ etc. ("Best" measured in terms of the metric provided through the scoring parameter.)

For other models you can only access the cross-validation scores from cv_results_. The models are not stored. If you want to use them to make predictions, you have the re-train the model where you explicitly set the parameters. 

If you want to use all the models to make predictions, it would be better to write your own code and simply loop over the parameter constellations without using GridSearchCV.