Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
Paper • 2501.13687 • Published • 9
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-Instruct-FT_T1", device_map="auto")Quick Links
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This repository contains the model introduced in the paper Question Answering on Patient Medical Records with Private Fine-Tuned LLMs.
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-Instruct-FT_T1")