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README.md

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+
 ---
-license: apache-2.0
+license: mit
+base_model: emilyalsentzer/Bio_ClinicalBERT
+pipeline_tag: text-classification
+tags: [multi-label, clinical, overdose]
 ---
+
+# DrugDetectionBERT
+
+Bio_ClinicalBERT fine-tuned for multi-label drug detection in death investigation narratives.
+
+Labels: Methamphetamine, Heroin, Cocaine, Fentanyl, Alcohol, Prescription.opioids,
+Any Opioids, Benzodiazepines, Others, Any Drugs.
+
+Sigmoid outputs. Per-label thresholds in `best_thresholds.json` — do not use 0.5.
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+tok = AutoTokenizer.from_pretrained("Elemets/DrugDetectionBERT")
+model = AutoModelForSequenceClassification.from_pretrained("Elemets/DrugDetectionBERT")
+