readme:    #####
  ## Bloom2.5B Zen ##
     #####
  
  
  Bloom (2.5 B) Scientific Model fine-tuned on Zen knowledge
  
  
     #####
  ## Usage ##
     #####
  
  
  ```python
  
  from transformers import AutoTokenizer, AutoModelForCausalLM
  
  tokenizer = AutoTokenizer.from_pretrained("MultiTrickFox/bloom-2b5_Zen") 
  model = AutoModelForCausalLM.from_pretrained("MultiTrickFox/bloom-2b5_Zen")
  
  generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
  
  inp = [ """Today""", """Yesterday""" ]
  
  out = generator( 
      inp, 
      
      do_sample=True,
      temperature=.7,
      typical_p=.6,
      #top_p=.9,
      repetition_penalty=1.2,
  
      max_new_tokens=666,
      max_time=60, # seconds
  )
  
  for o in out: print(o[0]['generated_text'])
  ```