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priteshloke/kepler-ops-anomaly-classifier

sourceHugging Facemitupdated 28d agoView on Hugging Face
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Model Card

🤖 Kepler Ops — Enterprise Anomaly & Exception Classifier

Author: Kepler Operations Intelligence (getkeplerops.com)

This model classifies transaction narratives, invoice discrepancy notes, and operational logs into standard enterprise failure modes.

📊 Target Classes (6 Exception Categories)

  1. 1.VOLUMETRIC_WEIGHT_OVERCHARGE_CRITICAL
  2. 2.COURIER_FAKE_NDR_ATTEMPT_CRITICAL
  3. 3.AGENCY_RETAINER_SCOPE_CREEP_CRITICAL
  4. 4.SAAS_DORMANT_SEAT_LICENSE_WASTE_HIGH
  5. 5.FBA_AGED_INVENTORY_SURCHARGE_CRITICAL
  6. 6.NONE_CLEAN_TRANSACTION

💻 Quick Python Usage

python
from transformers import pipeline

classifier = pipeline("text-classification", model="priteshloke/kepler-ops-anomaly-classifier")
result = classifier("Carrier billed 3.5 kg on a 0.5 kg shipment.")
print(result)

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