Update nli_detector.py

nli_detector.py

@@ -14,10 +14,11 @@ class NLIDetector:
     Returns entailment probability (0 to 1) for a given premise‑hypothesis pair.
     """
 
-    def __init__(self, model_name: str = "typeform/distilroberta-base-mnli"):
+    def __init__(self, model_name: str = "microsoft/deberta-base-mnli"):
         """
         Args:
             model_name: Hugging Face model identifier for NLI.
+                       Default is a public model that does not require authentication.
         """
         try:
             # Request all scores to obtain probabilities for each class.
@@ -36,11 +37,9 @@ class NLIDetector:
     def check(self, premise: str, hypothesis: str) -> Optional[float]:
         """
         Returns probability of entailment (higher means more consistent).
-
         Args:
             premise: The original input/context.
             hypothesis: The generated response.
-
         Returns:
             Float between 0 and 1, or None if model unavailable.
         """