readme: ---
  language: hr
  tags:
  - GPT-2
  datasets:
  - hrwac
  ---
  If you use this model for own tasks, please share your results in the community tab.
  
  
  With Tensorflow you can use:
  ```python
  from transformers import GPT2Tokenizer, TFGPT2Model
  
  tokenizer = GPT2Tokenizer.from_pretrained("domsebalj/GPcroaT")
  model = TFGPT2LMHeadModel.from_pretrained("domsebalj/GPcroaT")
  
  text = "Zamijeni ovaj tekst vlastitim"
  
  input_ids = tokenizer.encode(text, return_tensors='tf')
  
  beam_output = model.generate(
    input_ids,
    max_length = 80,
    min_length = 10,
    num_beams = 10,
    temperature = 5.7,
    no_repeat_ngram_size=2,
    num_return_sequences=5,
    repetition_penalty =7.5,
    length_penalty = 1.5,
    top_k = 50
  )
  
  output = []
  for i in beam_output:
    output.append(tokenizer.decode(i))
    
  print(output)
  ```
  