 使用 Usage  ```python from transformers import BartForConditionalGeneration, BartTokenizer tokenizer = BartTokenizer.from_pretrained('IDEA-CCNL/Yuyuan-Bart-400M') model = BartForConditionalGeneration.from_pretrained('IDEA-CCNL/Yuyuan-Bart-400M')  text = 'Influenza is a <mask> disease.' input_ids = tokenizer([text], return_tensors="pt")['input_ids'] model.eval() generated_ids = model.generate(     input_ids=input_ids, ) preds = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=True) for g in generated_ids] print(preds) ```  