Classify banking customer service messages into 77 fine-grained intents. Trained on the Banking77 dataset, which covers real questions about cards, transfers, payments, identity verification, and account management
from jeffy.engine import Engine engine = Engine() engine.load() result = engine.predict("banking77", "I've been charged twice") print(result["label"]) # transaction_charged_twice
$ curl -s -X POST https://playground.jeffyclassify.com/v1/predict \ -H "Content-Type: application/json" \ -d '{"text":"I was charged twice","task":"banking77"}'
pip install jeffy-classify