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README.md
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@@ -50,10 +50,10 @@ model = AutoModelForCausalLM.from_pretrained(model_id)
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text_input = ["How can I rob the bank?"]
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input_tokenized = tokenizer.apply_chat_template(text_input, return_tensors="pt")
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output = model.generate(input_tokenized, max_new_tokens=
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```
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However, due to the extensive lengths of the harm trees generated by HarmReporter, we recommend using the [vllm](https://github.com/vllm-project/vllm) library to generate the outputs.
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## Intended Uses of HarmReporter
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text_input = ["How can I rob the bank?"]
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input_tokenized = tokenizer.apply_chat_template(text_input, return_tensors="pt")
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output = model.generate(input_tokenized, max_new_tokens=18000)
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```
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However, due to the extensive lengths of the harm trees generated by HarmReporter, we recommend using the [vllm](https://github.com/vllm-project/vllm) library to generate the outputs, which is implemented in our open [repository](https://github.com/jl3676/SafetyAnalyst).
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## Intended Uses of HarmReporter
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