Clinical Decision Support System for Unani Medicine Practitioners
Paper • 2310.18361 • Published
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("HaiderSultanArc/UnaniBERT")
model = AutoModelForSequenceClassification.from_pretrained("HaiderSultanArc/UnaniBERT")Quick Links
Model Details
Fine-tuned variant of BioBERT, for text classification task on user's input with symptoms and/or causes to predict possible disease, aimed towards Decision Support System for Unani Medicine Practitioners.
Model Description
- Developed by: Haider Sultan
- License: MIT
- Paper: Clinical Decision Support System for Unani Medicine Practitioners
- Finetuned from model: BioBERT
Uses
Input a sentence with Symptoms and/or causes to predict possible diseases.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HaiderSultanArc/UnaniBERT")