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1model = load_from_hub(repo_id="franfram/q-Taxi-v3", filename="q-learning.pkl")
2
3# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
4env = gym.make(model["env_id"])
5
6evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
7