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| Metric | Score |
|---|---|
| Accuracy | 99.71% |
| F1 Score | 0.9871 |
| Precision | 0.9897 |
| Recall | 0.9846 |
1from optimum.onnxruntime import ORTModelForSequenceClassification
2from transformers import AutoTokenizer
3
4tokenizer = AutoTokenizer.from_pretrained("xanderabim/fraudfoxai-phishing")
5model = ORTModelForSequenceClassification.from_pretrained("xanderabim/fraudfoxai-phishing")
6
7inputs = tokenizer("URGENT: Verify your account now!", return_tensors="np", truncation=True)
8outputs = model(**inputs)1from transformers import AutoTokenizer, AutoModelForSequenceClassification
2
3tokenizer = AutoTokenizer.from_pretrained("xanderabim/fraudfoxai-phishing")
4model = AutoModelForSequenceClassification.from_pretrained("xanderabim/fraudfoxai-phishing")
5
6inputs = tokenizer("URGENT: Verify your account now!", return_tensors="pt", truncation=True)
7outputs = model(**inputs)| Phishing Score | Verdict | |
|---|---|---|
| "URGENT: Your PayPal account has been suspended!" | 99.99% | PHISHING |
| "Hi team, meeting at 2pm tomorrow" | 0.00% | SAFE |
| "Congratulations! You've won $1,000,000!" | 98.66% | PHISHING |
| "Meeting notes from yesterday attached" | 0.00% | SAFE |
| "Dear valued customer, your package delivery failed" | 99.92% | PHISHING |