YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
π§ Disease Symptom Classifier
A BERT-based model for classifying text descriptions of symptoms into medical-related categories.
π§ Usage
from transformers import pipeline
pipe = pipeline("text-classification", model="Luwayy/disease_predict4")
text = "The patient is experiencing a persistent cough and shortness of breath."
result = pipe(text)
print(result) # [{'label': 'Cough', 'score': 0.9985}]
π·οΈ Labels
The model predicts one of the following symptoms:
- Emotional pain - Joint pain
- Hair falling out - Hard to breath
- Heart hurts - Head ache
- Infected wound - Body feels weak
- Foot ache - Feeling dizzy
- Shoulder pain - Back pain
- Injury from sports - Open wound
- Skin issue - Internal pain
- Stomach ache - Blurry vision
- Knee pain - Acne
- Muscle pain - Neck pain
- Cough - Ear ache
- Feeling cold
- Downloads last month
- 4
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
π
Ask for provider support