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GPT2LMHeadModel.from_pretrained("gpt2") tokenizer = GPT2Tokenizer.from_pretrained("gpt2") # Prompt for text generation prompt = "Once upon a time, in a far-off land" # Generate text input_ids = tokenizer.encode(prompt, return_tensors="pt") output = model.generate(input_ids, max_length=100,