Question Answering
Transformers
Safetensors
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("question-answering", model="genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-BASE-FT_T1")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-BASE-FT_T1", dtype="auto")
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This repository contains the model introduced in the paper Question Answering on Patient Medical Records with Private Fine-Tuned LLMs.

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Paper for genloop/FHIR_QnA_Relevance_Classification_Mistral-NeMo-BASE-FT_T1