code: def load_classification_model(checkpoint_path):
      feature_extractor = AutoFeatureExtractor.from_pretrained(
          checkpoint_path
      )
      model = (
          AutoModelForAudioClassification.from_pretrained(
              checkpoint_path
          )
          .cuda()
          .eval()
      )
      label_names = [
          model.config.id2label[i]
          for i in range(model.config.num_labels)
      ]
      print(f"Classification model loaded from {checkpoint_path} !")
      return feature_extractor, model, label_names
  
file_path: textlesslib/examples/expresso/classify_audio.py
imports: import torch
  import torchaudio
  from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
  import os
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: load_classification_model(checkpoint_path) and returns: feature_extractor,  model,  label_names