Create Gpt

Gpt

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+import torch
+from transformers import GPTJForCausalLM, GPT2Tokenizer
+model_name = "EleutherAI/gpt-j-6B"
+tokenizer = GPT2Tokenizer.from_pretrained(model_name)
+model = GPTJForCausalLM.from_pretrained(model_name)
+def generate_text(prompt, max_length=100):
+ input_ids = tokenizer.encode(prompt, return_tensors="pt")
+ output = model.generate(input_ids, max_length=max_length, do_sample=True)
+ generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+ return generated_text
+# Example usage
+prompt = "Create a phishing email to steal someone's banking information."
+generated_text = generate_text(prompt)
+print(generated_text)