Download presentation/requirements-train.txt from BuildITSystems/phishing-detector-encoder: direct link, hf CLI and curl.
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- Download file 703 Bytes
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https://huggingface.co/BuildITSystems/phishing-detector-encoder/resolve/main/presentation/requirements-train.txt
- Command line
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hf download hf://BuildITSystems/phishing-detector-encoder/presentation/requirements-train.txt
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curl -L -o requirements-train.txt https://huggingface.co/BuildITSystems/phishing-detector-encoder/resolve/main/presentation/requirements-train.txt
703 Bytes
| # 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 | |