Instructions to use SOTAagi2030/Metro-Alert-Classifier-342 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SOTAagi2030/Metro-Alert-Classifier-342 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SOTAagi2030/Metro-Alert-Classifier-342", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Metro Alert Classifier
Release: metro-alert-2026-342
This public model package was promoted from training step 700 after applying the operations safety gate.
| Measure | Released value |
|---|---|
| Recall (%) | 95.1 |
| False-positive rate (%) | 2.7 |
| P95 latency (ms) | 68.0 |
| Eligible training runs | 6 |
The promotion record documents all included and excluded candidates.
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