Instructions to use jonleed/clinical-note-biobart-large-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jonleed/clinical-note-biobart-large-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("GanjinZero/biobart-large") model = PeftModel.from_pretrained(base_model, "jonleed/clinical-note-biobart-large-lora") - Notebooks
- Google Colab
- Kaggle
Clinical Note BioBART-large LoRA
LoRA adapter fine-tuned from GanjinZero/biobart-large on the MTS-Dialog dataset using the original project prompt and target construction.
Configuration: LoRA rank 8, alpha 64, dropout 0.01, targeting BART query/value projections. Use with GanjinZero/biobart-large through PEFT.
This is an educational research artifact. Generated notes require clinician review and are not clinically validated.
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Model tree for jonleed/clinical-note-biobart-large-lora
Base model
GanjinZero/biobart-large