chunk_content: al_ds = splits["test"]
  Finally, set the transformation functions for the datasets accordingly:
  
  
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  train_ds.set_transform(preprocess_train)
  val_ds.set_transform(preprocess_val)
  
  Load and prepare a model
  	
  Before loading the model, let’s define a helper function to check the total number of parameters a model has, as well
  as how many of them are trainable.
  
  
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  def print_trainable_parameters(model):
      trainable_params = 0
      all_pa