code: def compute_alignments(waveform: torch.Tensor, transcript: List[str]):
      with torch.inference_mode():
          emission, _ = model(waveform.to(device))
          token_spans = aligner(emission[0], tokenizer(transcript))
      return emission, token_spans
  
file_path: audio/examples/tutorials/forced_alignment_for_multilingual_data_tutorial.py
imports: import torch
  import torchaudio
  from typing import List
  import IPython
  import matplotlib.pyplot
  from torchaudio.pipelines import MMS_FA
label_desc: Use image node_id 1 for calling a global function with example usage: compute_alignments(waveform, transcript) and returns: emission,  token_spans