Instructions to use Daemons-Q/qsh-telecom-qml-ids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daemons-Q/qsh-telecom-qml-ids with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Daemons-Q/qsh-telecom-qml-ids", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "features": [ | |
| "qber_mean", | |
| "qber_std", | |
| "sift_ratio", | |
| "multiphoton_rate", | |
| "timing_jitter", | |
| "dark_count_rate", | |
| "click_asymmetry" | |
| ], | |
| "classes": [ | |
| "normal", | |
| "intercept_resend", | |
| "photon_number_splitting", | |
| "trojan_horse", | |
| "detector_blinding", | |
| "wavelength_trojan", | |
| "rng_manipulation", | |
| "combined" | |
| ], | |
| "note": "8 classes = 7 attack types + normal traffic (ATTACKS[0] == 'normal'), not 'eight attack scenarios'. An earlier revision listed the CLASS LABELS under 'features'; the real model inputs are the QKD telemetry statistics in 'features', from FEATURES in src/qsh/qml_ids/attacks.py. Generated from the source, not written by hand." | |
| } | |