chunk_content: nity like so:
  
  
  	Copied
  repo_name = f"sayakpaul/{model_name}-finetuned-lora-food101"
  lora_model.push_to_hub(repo_name)
  When calling push_to_hub on the lora_model, only the LoRA parameters along with any modules specified in modules_to_save
  are saved. Take a look at the trained LoRA parameters.
  You’ll see that it’s only 2.6 MB! This greatly helps with portability, especially when using a very large model to fine-tune (such as BLOOM).
  Next, let’s