chunk_content: ights, and the configuration into from_pretrained() to create the PeftModel:
  
  
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  from peft import PeftModel, PeftConfig
  
  peft_model_id = "stevhliu/bloomz-560m_PROMPT_TUNING_CAUSAL_LM"
  
  config = PeftConfig.from_pretrained(peft_model_id)
  model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path)
  model = PeftModel.from_pretrained(model, peft_model_id)
  Grab a tweet and tokenize it:
  
  
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  inputs = tokenizer(
      f'{text_c