| 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) | |