Text Classification
Safetensors
PyTorch
English
phishbyte
phishing-detection
email-security
cybersecurity
security
from-scratch
no-pretrained-weights
cascading-inference
lightweight
explainable-ai
nlp
phishing
spam-detection
malware-detection
threat-detection
email-classification
feature-engineering
interpretable-ml
tfidf
residual-network
cross-signal-fusion
lexical-analysis
calibrated-probabilities
Eval Results (legacy)
| # ββ Phish_Byte requirements ββββββββββββββββββββββββββββββββββββββββββββββ | |
| # Minimal set needed to LOAD and RUN the model (inference only). | |
| # For training your own model, also install: pandas, requests | |
| # Core β required for inference | |
| torch>=2.5.0 | |
| huggingface_hub>=0.24.0 | |
| safetensors>=0.4.0 | |
| dnspython>=2.6.0 | |
| numpy>=1.26.0 | |
| # Required for --demo mode and training (reads CSV files) | |
| pandas>=2.2.0 | |
| # Optional β only needed for post-hoc SHAP attribution (not core inference) | |
| # shap>=0.45.0 |