code: def run_hf_other_repo_single_node(run_options):
      """Test function for basic HF model use.
  
      Arguments
      ---------
  
      run_options: dict
          A set of options to change the runtime environment.
      """
      # Test on both nodes w/ pretrained HF model; ensure first it's fetched
      repo = "speechbrain/asr-crdnn-commonvoice-fr"
      EncoderDecoderASR.from_hparams(
          source=repo,
          savedir="pretrained_models/asr-crdnn-commonvoice-fr",
          download_only=True,
      )
  
      # Instantiate pretrained HF model
      pretrained_hf_asr = EncoderDecoderASR.from_hparams(
          source=repo,
          savedir="pretrained_models/asr-crdnn-commonvoice-fr",
          run_opts=deepcopy(run_options),
      )
  
      # From HF model card
      pred = pretrained_hf_asr.transcribe_file(
          "speechbrain/asr-crdnn-commonvoice-fr/example-fr.wav"
      )
  
      print(f"prediction: {pred}")
  
imports: import logging
  import speechbrain
  from copy import deepcopy
  from speechbrain.inference.ASR import EncoderDecoderASR
  from speechbrain.utils.fetching import FetchFrom, FetchSource
label_desc: Use image node_id 2 for calling a global function with example usage: run_hf_other_repo_single_node(run_options) without return types