YAML Metadata Warning: The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

def paraphrase(
    question,
    num_beams=5,
    num_beam_groups=5,
    num_return_sequences=1,
    repetition_penalty=10.0,
    diversity_penalty=3.0,
    no_repeat_ngram_size=2,
    temperature=0.7,
    max_length=128
):
  input_ids = tokenizer(
      f'paraphrase: {question}',
      return_tensors="pt", 
      padding="longest",
      max_length=max_length,
      truncation=True,
  ).input_ids
  
  outputs = model.generate(
      input_ids, temperature=temperature, repetition_penalty=repetition_penalty,
      num_return_sequences=num_return_sequences, no_repeat_ngram_size=no_repeat_ngram_size,
      num_beams=num_beams, num_beam_groups=num_beam_groups,
      max_length=max_length, diversity_penalty=diversity_penalty
  )

  res = tokenizer.batch_decode(outputs, skip_special_tokens=True)

  return res

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