Transformers
Safetensors
Laya
system-1
action-ranking
decision-model
enterprise-ai
research
experimental
Instructions to use yasserrmd/enterprise-reflux-laya-v21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasserrmd/enterprise-reflux-laya-v21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yasserrmd/enterprise-reflux-laya-v21", device_map="auto") - Laya
How to use yasserrmd/enterprise-reflux-laya-v21 with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 589 Bytes
8985516 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"status": "V2.1 trained ranking model + recovered ACT head",
"act_recovery": true,
"act_validation_accuracy": 0.606947,
"act_validation_balanced_accuracy": 0.610865,
"act_validation_auroc": 0.6769,
"stage1_gate_auroc": 0.8646,
"stage2_gate_selected": "logistic",
"stage2_gate_val_selective_accuracy": 0.7981,
"stage2_gate_val_coverage": 0.0951,
"notes": [
"Ranking model preserved",
"ACT head recovered from collapsed state",
"Execution gate not suitable yet for autonomous System-1 routing",
"Authorization/policy/preconditions remain external"
]
} |