o sample
>>> scipy.io.wavfile.write("techno.wav", rate=16000, data=audio)  generate_language_model  < source > ( inputs_embeds: Tensor = None max_new_tokens: int = 8 **model_kwargs  ) → inputs_embeds (torch.FloatTensorof shape(batch_size, sequence_length, hidden_size)`)  Parameters   inputs_embeds (torch.FloatTensor of shape (batch_size, sequence_length, hidden_size)) —
The sequence used as a prompt for the generation.   max_new_tokens (int) —
