from transformers import GPT2LMHeadModel, GPT2Tokenizer

model_name = "gpt2"
tokenizer = GPT2Tokenizer.from_pretrained(model_name)
model = GPT2LMHeadModel.from_pretrained(model_name)

input_text = "Una escena de montaña nevada al atardecer"
input_ids = tokenizer.encode(input_text, return_tensors="pt")

output = model.generate(input_ids, max_length=50, num_beams=5, no_repeat_ngram_size=2, top_k=50, top_p=0.95)

generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text)