phishing-detector-encoder / presentation /requirements-train.txt
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# Local training venv — Python 3.14.7 (system), RTX 3090 Ti, driver 615.71.09 (CUDA 13.4)
# Verified live on 2026-10-07: every package has a cp314/abi3/pure Linux x86_64 wheel.
# Install: uv pip install --python .venv/bin/python --torch-backend=cu130 -r requirements-train.txt
# (never --torch-backend=auto: uv 0.12.5 would pick cu132 on this driver)
torch==2.14.1
tokenizers==0.23.2
safetensors==0.8.0
numpy==2.5.3
huggingface_hub==1.33.0
datasets==5.1.0
fsspec==2026.7.0
pyarrow==25.0.1
pandas==3.0.6
scipy==1.18.1
scikit-learn==1.9.1
matplotlib==3.11.2
pyyaml==6.0.3
tqdm==4.70.1
jupyterlab==4.6.4
ipykernel==7.4.0
nbformat==5.11.1
nbconvert==7.17.1
ipywidgets==8.1.9
gradio==6.29.1
spaces==0.51.3