Text Classification
Transformers
Safetensors
English
deberta-v2
phishing-detection
email-security
deberta-v3
Instructions to use takumi123xxx/phishing-email-detector-deberta-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use takumi123xxx/phishing-email-detector-deberta-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="takumi123xxx/phishing-email-detector-deberta-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("takumi123xxx/phishing-email-detector-deberta-v3") model = AutoModelForSequenceClassification.from_pretrained("takumi123xxx/phishing-email-detector-deberta-v3") - Notebooks
- Google Colab
- Kaggle
| optimal_threshold=0.0007 | |
| recall=1.0000 | |
| precision=0.8915 | |
| f1=0.9426 | |
| accuracy=0.9523 | |
| false_positives=89 | |
| false_negatives=0 | |