readme: ## How to use 
  ```python
  import transformers
  
  model = transformers.GPT2LMHeadModel.from_pretrained("lbox/lcube-base")
  tokenizer = transformers.AutoTokenizer.from_pretrained(
      "lbox/lcube-base",
      bos_token="[BOS]",
      unk_token="[UNK]",
      pad_token="[PAD]",
      mask_token="[MASK]",
  )
  
  text = "피고인은 불상지에 있는 커피숍에서, 피해자 B으로부터"
  model_inputs = tokenizer(text,
                           max_length=1024,
                           padding=True,
                           truncation=True,
                           return_tensors='pt')
  out = model.generate(
      model_inputs["input_ids"], 
      max_new_tokens=150,
      pad_token_id=tokenizer.pad_token_id,
      use_cache=True,
      repetition_penalty=1.2,
      top_k=5,
      top_p=0.9,
      temperature=1,
      num_beams=2,
  )
  tokenizer.batch_decode(out)
  ```
  
  For more information please visit <https://github.com/lbox-kr/lbox_open>.
  
  
  
  ## Licensing Information
  
  Copyright 2022-present LBox Co. Ltd.
  
  Licensed under the CC BY-NC-ND 4.0