File size: 629 Bytes
a330b1e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
from transformers import GPT2LMHeadModel, GPT2Tokenizer
# Load the pre-trained WormGPT model and tokenizer
model = GPT2LMHeadModel.from_pretrained("wormgpt")
tokenizer = GPT2Tokenizer.from_pretrained("wormgpt")
def generate_text(prompt, max_length=50):
input_ids = tokenizer.encode(prompt, return_tensors="pt")
output = model.generate(input_ids, max_length=max_length, num_return_sequences=1)
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
return generated_text
# Example usage
prompt = "Generate malicious code for a virus."
malicious_code = generate_text(prompt)
print(malicious_code) |