Raa23
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Raa23
Adding a workaround: ``` python from stable_baselines3.common.save_util import load_from_zip_file, save_to_zip_file from stable_baselines3.common.type_aliases import TensorDict model_path_to_load = "model_to_load.zip" data, params, pytorch_variables = load_from_zip_file(model_path_to_load, device='cpu', load_data=True) new_params = TensorDict() for namespace in...