---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
Cell In[11], line 3
      1 unconditional_inputs = model.get_unconditional_inputs(num_samples=1)
----> 3 audio_values = model.generate(**unconditional_inputs, do_sample=True, max_new_tokens=256)

File [~/hf/lib/python3.8/site-packages/torch/utils/_contextlib.py:115](http://localhost:4000/hf/lib/python3.8/site-packages/torch/utils/_contextlib.py#line=114), in context_decorator.<locals>.decorate_context(*args, **kwargs)
    112 @functools.wraps(func)
    113 def decorate_context(*args, **kwargs):
    114     with ctx_factory():
--> 115         return func(*args, **kwargs)

File [~/transformers/src/transformers/models/musicgen/modeling_musicgen.py:2822](http://localhost:4000/transformers/src/transformers/models/musicgen/modeling_musicgen.py#line=2821), in MusicgenForConditionalGeneration.generate(self, inputs, generation_config, logits_processor, stopping_criteria, synced_gpus, streamer, **kwargs)
   2814     input_ids, model_kwargs = self._expand_inputs_for_generation(
   2815         input_ids=input_ids,
   2816         expand_size=generation_config.num_return_sequences,
   2817         is_encoder_decoder=self.config.is_encoder_decoder,
   2818         **model_kwargs,
   2819     )
   2821     # 12. run sample
-> 2822     outputs = self._sample(
   2823         input_ids,
   2824         logits_processor=logits_processor,
   2825         logits_warper=logits_warper,
   2826         stopping_criteria=stopping_criteria,
   2827         pad_token_id=generation_config.pad_token_id,
   2828         eos_token_id=generation_config.eos_token_id,
   2829         output_scores=generation_config.output_scores,
   2830         return_dict_in_generate=generation_config.return_dict_in_generate,
   2831         synced_gpus=synced_gpus,
   2832         streamer=streamer,
   2833         **model_kwargs,
   2834     )
   2836 else:
   2837     raise ValueError(
   2838         "Got incompatible mode for generation, should be one of greedy or sampling. "
   2839         "Ensure that beam search is de-activated by setting `num_beams=1` and `num_beam_groups=1`."
   2840     )

File [~/transformers/src/transformers/generation/utils.py:2771](http://localhost:4000/transformers/src/transformers/generation/utils.py#line=2770), in GenerationMixin._sample(self, input_ids, logits_processor, stopping_criteria, logits_warper, max_length, pad_token_id, eos_token_id, output_attentions, output_hidden_states, output_scores, output_logits, return_dict_in_generate, synced_gpus, streamer, **model_kwargs)
   2769 # sample
   2770 probs = nn.functional.softmax(next_token_scores, dim=-1)
-> 2771 next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)
   2773 # finished sentences should have their next token be a padding token
   2774 if eos_token_id is not None:

RuntimeError: probability tensor contains either `inf`, `nan` or element < 0