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@@ -53,7 +53,7 @@ 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 benefit trees generated by BenefitReporter, 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 BenefitReporter
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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 benefit trees generated by BenefitReporter, **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 BenefitReporter
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