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@@ -16,6 +16,9 @@ Conclusion: Personalized impressions generated by PEGASUS were clinically useful
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  ## πŸš€ Usage
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  ### πŸ“Š Performance Metrics
@@ -41,5 +44,5 @@ The models were trained on NVIDIA A100 GPUs.
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  ## πŸ“ Additional Resources
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  - **Finetuned from model:** [Facebook's BART Large) (https://huggingface.co/google/t5-v1_1-large)
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- - **Repository:** [GitHub Repository](https://github.com/xtie97/PET-Report-Summarization)
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  ## πŸš€ Usage
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+ ```bash
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+ python generate
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+ ```
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  ### πŸ“Š Performance Metrics
 
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  ## πŸ“ Additional Resources
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  - **Finetuned from model:** [Facebook's BART Large) (https://huggingface.co/google/t5-v1_1-large)
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+ - **Codebase for training and inference:** [GitHub Repository](https://github.com/xtie97/PET-Report-Summarization)
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