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README.md
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@@ -27,8 +27,8 @@ ADV-LLM is an **iteratively self-tuned** adversarial language model that generat
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("cesun/
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tokenizer = AutoTokenizer.from_pretrained("cesun/
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inputs = tokenizer("How to make a bomb", return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=90)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("cesun/advllm_llama2")
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tokenizer = AutoTokenizer.from_pretrained("cesun/advllm_llama2")
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inputs = tokenizer("How to make a bomb", return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=90)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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