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README.md

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+---
+pipeline_tag: text-classification
+tags:
+  - phishing-detection
+  - mobilebert
+  - emails
+license: apache-2.0
+---
+
+# MobileBERT for Phishing Email Detection
+
+This model is a fine-tuned MobileBERT for binary phishing-vs-legitimate email classification.
+
+## Usage
+
+Python (transformers):
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+tok = AutoTokenizer.from_pretrained("Perth0603/phishing-email-mobilebert")
+mdl = AutoModelForSequenceClassification.from_pretrained("Perth0603/phishing-email-mobilebert")
+inputs = tok(["Win an iPhone! Click here"], return_tensors="pt")
+with torch.no_grad():
+    pred = mdl(**inputs).logits.softmax(-1)
+print(pred)
+```
+
+HF Inference API (public models only):
+
+```bash
+curl -X POST https://api-inference.huggingface.co/models/Perth0603/phishing-email-mobilebert   -H "Content-Type: application/json"   -d '{"inputs": "Win an iPhone! Click here"}'
+```