from transformers import GPT2LMHeadModel, GPT2Tokenizer # Load the pre-trained model and tokenizer tokenizer = GPT2Tokenizer.from_pretrained("gpt2") model = GPT2LMHeadModel.from_pretrained("gpt2") # Your prompt to start generating text input_text = "Once upon a time" input_ids = tokenizer.encode(input_text, return_tensors="pt") # Generate the text output = model.generate(input_ids, max_length=50) print(tokenizer.decode(output[0], skip_special_tokens=True))
