huggingface text generation call

generate_text.py

generated_text_samples = model.generate(
    input_ids, 
    max_length=150,  
    num_return_sequences=5,
    no_repeat_ngram_size=2,
    repetition_penalty=1.5,
    top_p=0.92,
    temperature=.85,
    do_sample=True,
    top_k=125,
    early_stopping=True
)

#Print output for each sequence generated above
for i, beam in enumerate(beam_output):
  print("{}: {}".format(i,tokenizer.decode(beam, skip_special_tokens=True)))
  print()