chunk_content: rainer = Trainer(
      model=lora_model,
      args=training_args,
      train_dataset=train_ds,
      eval_dataset=test_ds,
      compute_metrics=compute_metrics,
  )
  
  trainer.train()
  
  Save the model and run inference
  	
  Use the save_pretrained() method of the lora_model to save the LoRA-only parameters locally.
  Alternatively,  use the push_to_hub() method to upload these parameters directly to the Hugging Face Hub
  (as shown in the Image classification us