| from transformers import GPT2LMHeadModel, GPT2Tokenizer | |
| # Load the pre-trained GPT-2 model and tokenizer | |
| model_name = "gpt2" # You can use other GPT-2 variants like "gpt2-medium" or "gpt2-large" | |
| model = GPT2LMHeadModel.from_pretrained(model_name) | |
| tokenizer = GPT2Tokenizer.from_pretrained(model_name) | |
| # Input text | |
| input_text = "Once upon a time, in a land far, far away..." | |
| # Tokenize the input text | |
| input_ids = tokenizer.encode(input_text, return_tensors="pt") | |
| # Generate text | |
| output = model.generate(input_ids, max_length=100, num_return_sequences=1) | |
| # Decode and print the generated text | |
| generated_text = tokenizer.decode(output[0], skip_special_tokens=True) | |
| print(generated_text) | |