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)
Add requirements.txt to Hub repo
Browse files- requirements.txt +16 -0
requirements.txt
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# ββ Phish_Byte requirements ββββββββββββββββββββββββββββββββββββββββββββββ
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# Minimal set needed to LOAD and RUN the model (inference only).
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# For training your own model, also install: pandas, requests
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# Core β required for inference
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torch>=2.5.0
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huggingface_hub>=0.24.0
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safetensors>=0.4.0
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dnspython>=2.6.0
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numpy>=1.26.0
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# Required for --demo mode and training (reads CSV files)
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pandas>=2.2.0
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# Optional β only needed for post-hoc SHAP attribution (not core inference)
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# shap>=0.45.0
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