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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)
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