chunk_content: del_id)
    model = AutoModelForSeq2SeqLM.from_pretrained(config.base_model_name_or_path)
  + model = PeftModel.from_pretrained(model, peft_model_id)
    tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
  
    model = model.to(device)
    model.eval()
    inputs = tokenizer("Tweet text : @HondaCustSvc Your customer service has been horrible during the recall process. I will never purchase a Honda again. Label :", return_tensors="pt")