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- **Code License:** [MIT](https://opensource.org/license/mit/)
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- **Fine-tuned from model:** [Meditron-7B.v1.0](https://huggingface.co/epfl-llm/meditron-7b)
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- **Context length:** 2K tokens
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- **Input:**
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- **Output:**
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### Model Sources
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- **Repository:** [EPFL-IC-Make-Team/ClinicalNotes](https://github.com/EPFL-IC-Make-Team/ClinicalNotes)
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- **Trainer:** [epflLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM)
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- **Paper:** *[MediNote: Automatic Clinical Notes]()*
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## Uses
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### Direct Use
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- **Code License:** [MIT](https://opensource.org/license/mit/)
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- **Fine-tuned from model:** [Meditron-7B.v1.0](https://huggingface.co/epfl-llm/meditron-7b)
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- **Context length:** 2K tokens
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- **Input:** Patient-doctor conversation transcripts (text)
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- **Output:** Clinical notes (text)
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- **Repository:** [EPFL-IC-Make-Team/ClinicalNotes](https://github.com/EPFL-IC-Make-Team/ClinicalNotes)
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- **Trainer:** [epflLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM)
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- **Paper:** *[MediNote: Automatic Clinical Notes]()*
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<p align="center">
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<img width=70% src="model_pipeline" alt="Model pipeline" title="Model pipeline">
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</p>
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###
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## Uses
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### Direct Use
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