chunk_content: (
      config.base_model_name_or_path, num_labels=11, id2label=id2label, label2id=label2id
  )
  tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
  model = PeftModel.from_pretrained(inference_model, peft_model_id)
  Get some text to tokenize:
  
  
  	Copied
  text = "The activation of IL-2 gene expression and NF-kappa B through CD28 requires reactive oxygen production by 5-lipoxygenase."
  inputs = tokenizer(text, return_tensors="pt")
  Pa