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2model = load_from_hub(repo_id="ThomasSimonini/q-FrozenLake-v1-no-slippery", filename="q-learning.pkl")
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4# Don't forget to check if you need to add additional attributes (is_slippery etc)
5env = gym.make(model["env_id"])
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7evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
8