readme: This model provides a GPT-2 language model trained with SimCTG on the WritingPrompts benchmark [(Fan et al., 2018)](https://arxiv.org/abs/1805.04833) based on our paper [_A Contrastive Framework for Neural Text Generation_](https://arxiv.org/abs/2202.06417).
  
  We provide a detailed tutorial on how to apply SimCTG and Contrastive Search in our [project repo](https://github.com/yxuansu/SimCTG#4-huggingface-style-tutorials-back-to-top). In the following, we illustrate a brief tutorial on how to use our approach to perform text generation.
  
  ## 1. Installation of SimCTG:
  ```yaml
  pip install simctg --upgrade
  ```
  
  ## 2. Initialize SimCTG Model:
  ```python
  import torch
  # load SimCTG language model
  from simctg.simctggpt import SimCTGGPT
  model_name = r'cambridgeltl/simctg_writingprompts'
  model = SimCTGGPT(model_name)
  model.eval()
  tokenizer = model.tokenizer
  ```
  
  ## 3. Prepare the Text Prefix:
  ```python
  prefix_text = r"[ WP ] A kid doodling in a math class accidentally creates the world 's first functional magic circle in centuries . <|endoftext|>"
  print ('Prefix is: {}'.format(prefix_text))
  tokens = tokenizer.tokenize(prefix_text)
  input_ids = tokenizer.convert_tokens_to_ids(tokens)
  input_ids = torch.LongTensor(input_ids).view(1,-1)
  ```
  
  ## 4. Generate Text with Contrastive Search:
  ```python
  beam_width, alpha, decoding_len = 5, 0.6, 200
  output = model.fast_contrastive_search(input_ids=input_ids, beam_width=beam_width, 
                                         alpha=alpha, decoding_len=decoding_len) 
  print("Output:\n" + 100 * '-')
  print(tokenizer.decode(output))
  '''
    Prefix is: [ WP ] A kid doodling in a math class accidentally creates the world 's first functional magic circle in centuries . <|endoftext|>
    Output:
    ----------------------------------------------------------------------------------------------------
    [ WP ] A kid doodling in a math class accidentally creates the world's first functional magic circle in centuries. <|endoftext|> I looked at 
    the circle, it wasn't there. I couldn't see it, and my eyes were watering from the rain that had fallen over the school, the wind howling through 
    the windows and making a wispy noise as it passed through the air. `` What is it? '' I asked, trying to find the source of the noise. `` It's a 
    circle, '' the teacher said in a voice that sounded like it was from an old TV show or something like that. `` You can't make it out of there. '' 
    I looked around the room, there was no one there. It was as if I was in a dream, but no one seemed to notice me. Then I saw a flash of light, and 
    the circle appeared in front of me. I turned around to see what was going on, I had never seen anything like it before in my life. I ran up to the 
    teacher and asked, `` Are you sure this is real?
  '''
  ```
  
  For more details of our work, please refer to our main [project repo](https://github.com/yxuansu/SimCTG).
  
  ## 5. Citation:
  If you find our paper and resources useful, please kindly leave a star and cite our paper. Thanks!
  
  ```bibtex
  @article{su2022contrastive,
    title={A Contrastive Framework for Neural Text Generation},
    author={Su, Yixuan and Lan, Tian and Wang, Yan and Yogatama, Dani and Kong, Lingpeng and Collier, Nigel},
    journal={arXiv preprint arXiv:2202.06417},
    year={2022}
  }
  ```
  
  
  