Text Generation
PEFT
Safetensors
lora
text-generation-inference
biology
medical
ontogpt
text2text-generation
Instructions to use UoS-HGIG/MIMIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use UoS-HGIG/MIMIC with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-70B-Instruct") model = PeftModel.from_pretrained(base_model, "UoS-HGIG/MIMIC") - Notebooks
- Google Colab
- Kaggle
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Weights for this model are available in Safetensors,PyTorch format.
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[Download](/UoS-HGIG/MIMIC/tree/main) them in the Files & versions tab.
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Weights for this model are available in Safetensors,PyTorch format.
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[Download](/UoS-HGIG/MIMIC/tree/main) them in the Files & versions tab.
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## Reference
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Application of Generative Artificial Intelligence to Utilise Unstructured Clinical Data for Acceleration of Inflammatory Bowel Disease Research
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Alex Z Kadhim, Zachary Green, Iman Nazari, Jonathan Baker, Michael George, Ashley Heinson, Matt Stammers, Christopher Kipps, R Mark Beattie, James J Ashton, Sarah Ennis
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medRxiv 2025.03.07.25323569; doi: https://doi.org/10.1101/2025.03.07.25323569
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