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)
File size: 602 Bytes
1b3cbe3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # 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 |