chunk_content: odel = AutoModelForSeq2SeqLM.from_pretrained(config.base_model_name_or_path)
  model = PeftModel.from_pretrained(model, peft_model_id)
  Get and tokenize some text about financial news:
  
  
  	Copied
  inputs = tokenizer(
      "The Lithuanian beer market made up 14.41 million liters in January , a rise of 0.8 percent from the year-earlier figure , the Lithuanian Brewers ' Association reporting citing the results from its members .",
      return_tensors="pt