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chinese-simile-generative 是一个将句子A改写成带有修辞手法(主要为比喻,明喻)的句子B的seq2seq模型。

A: 想当初对你的定级是很高的,现在我很伤心,看到你的科研进度这么慢。

B: 想当初对你的定级是很高的,现在我很伤心,看到你的科研进度像蜗牛一样慢。

  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
  tokenizer = AutoTokenizer.from_pretrained("figurative-nlp/chinese-simile-generation")
  model = AutoModelForSeq2SeqLM.from_pretrained("figurative-nlp/chinese-simile-generation")
  
  
  input_ids = tokenizer(
      "我走得很慢,慢极了", return_tensors="pt"
  ).input_ids
  outputs = model.generate(input_ids,num_beams = 5,max_length = 64)
  result = tokenizer.decode(outputs[0], skip_special_tokens=True)
  print(result)
  #result : 我走的很慢,像蜗牛一样。
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