Fix T5 NEC

src/experiments/NER_with_T5.py

-from src.models.T5 import T5
+from src.models.T5 import infer_nli
 
 def classify_entity(sentence, entity, labels):
-    model = T5.instance()
     print("classify entity")
     for label in labels:
+        print(f"Label: {label}")
         hypothesis = f"{entity} is a {label}"
-        result = model.infer_nli(sentence, hypothesis)
+        result = infer_nli(sentence, hypothesis)
         print(f"Hypothesis: {hypothesis}, Result: {result}")
     # TODO: determine highest confidence prediction
     return labels[0]