readme: ---
  language:
  - en
  library_name: transformers
  pipeline_tag: text2text-generation
  ---
  
  ```python
  from transformers import AutoTokenizer, AutoModelForCausalLM
  
  tokenizer = AutoTokenizer.from_pretrained("svjack/bloom-daliy-dialogue-english")
  
  model = AutoModelForCausalLM.from_pretrained("svjack/bloom-daliy-dialogue-english")
  
  tokenizer.decode(
  model.generate(
      tokenizer.encode(
              "Are you hungry?", return_tensors="pt", add_special_tokens=True
          ), 128)[0],
  skip_special_tokens = True
  ).split("\n-----\n")
  
  '''
  ['Are you hungry?ou already have breakfast? ',
   " Sorry, I didn't order my breakfast. ",
   ' You just have to put your breakfast in the oven. ',
   ' OK, I will get it for you. ',
   ' Is there anything I can do for you? ',
   ' I also have a suit and a woolen sweater. ',
   ' What do you want? ',
   " I'd like a Sprite, please. ",
   ' What kind of juice do you want? ',
   ' Is there any extra water? ',
   " No, that's all. ",
   ' What kind of drink do you']
  '''
  ```