ReportRaahat Medical Simplifier
Fine-tuned google/flan-t5-small on EkaCare's Indian clinical note generation dataset.
Task: Takes a raw medical finding (test name, value, status) and outputs a layman Hindi or English explanation a patient can understand.
Usage
from transformers import pipeline
pipe = pipeline('text2text-generation', model='CaffeinatedCoding/reportraahat-simplifier')
result = pipe('simplify medical finding: Hemoglobin 9.2 g/dL LOW')
print(result[0]['generated_text'])
Part of ReportRaahat
Built for HackerzStreet 4.0 @ Manipal University Jaipur. Paired with a FAISS RAG layer over NidaanKosha 100K Indian lab readings.
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support