The audio outputs are a three-dimensional Torch tensor of shape (batch_size, num_channels, sequence_length). To listen
to the generated audio samples, you can either play them in an ipynb notebook:
thon
from IPython.display import Audio
sampling_rate = model.config.audio_encoder.sampling_rate
Audio(audio_values[0].numpy(), rate=sampling_rate)

Or save them as a .wav file using a third-party library, e.g. scipy:
thon