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
Download experiment_metadata.json from yasserrmd/enterprise-reflux-laya-v21: direct link, hf CLI and curl.
- Browser
- Download file 589 Bytes
-
https://huggingface.co/yasserrmd/enterprise-reflux-laya-v21/resolve/main/experiment_metadata.json
- Command line
-
hf download hf://yasserrmd/enterprise-reflux-laya-v21/experiment_metadata.json
-
curl -L -o experiment_metadata.json https://huggingface.co/yasserrmd/enterprise-reflux-laya-v21/resolve/main/experiment_metadata.json
589 Bytes
| { | |
| "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" | |
| ] | |
| } |