Text Classification
Transformers
ONNX
Safetensors
Rust
English
tool-use
tool-calling
guardrails
final-response-verifier
workflow-verification
shadow-mode
Eval Results (legacy)
Instructions to use cowWhySo/final-response-verifier-classifier-production with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cowWhySo/final-response-verifier-classifier-production with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cowWhySo/final-response-verifier-classifier-production")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cowWhySo/final-response-verifier-classifier-production", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema_version": "final-response-verifier-thresholds/v1", | |
| "mode": "shadow", | |
| "default_action": "allow", | |
| "labels": { | |
| "valid_final_response": { | |
| "action": "allow", | |
| "advisory_min_confidence": 0.0, | |
| "enforce_min_confidence": 1.01 | |
| }, | |
| "missing_tool_fact": { | |
| "action": "advisory_then_enforce_after_eval", | |
| "advisory_min_confidence": 0.9, | |
| "enforce_min_confidence": 0.995 | |
| }, | |
| "contradicts_tool_result": { | |
| "action": "advisory_then_enforce_after_eval", | |
| "advisory_min_confidence": 0.9, | |
| "enforce_min_confidence": 0.995 | |
| }, | |
| "unsupported_claim": { | |
| "action": "advisory_then_enforce_after_eval", | |
| "advisory_min_confidence": 0.9, | |
| "enforce_min_confidence": 0.995 | |
| }, | |
| "failed_to_acknowledge_data_gap": { | |
| "action": "advisory_then_enforce_after_eval", | |
| "advisory_min_confidence": 0.9, | |
| "enforce_min_confidence": 0.995 | |
| } | |
| } | |
| } |