Update DebertaV3.cs

DebertaV3.cs

@@ -34,6 +34,12 @@ public sealed class DebertaV3 : MonoBehaviour
         Model loadedModel = ModelLoader.Load(model);
         engine = WorkerFactory.CreateWorker(backend, loadedModel);
 
+        if (classes.Length == 0)
+        {
+            Debug.LogError("There need to be more than 0 classes");
+            return;
+        }
+
         string[] hypotheses = classes.Select(x => hypothesisTemplate.Replace("{}", x)).ToArray();
         Batch batch = GetTokenizedBatch(text, hypotheses);
         float[] scores = GetBatchScores(batch);
@@ -106,7 +112,7 @@ public sealed class DebertaV3 : MonoBehaviour
         // To obtain a single value (score) per example, a softmax function is applied
 
         TensorFloat tensorScores;
-        if (multipleTrueClasses || logits.shape.length == 1)
+        if (multipleTrueClasses || logits.shape.Length(0, 1) == 1)
         {
             // Softmax over the entailment vs. contradiction dimension for each label independently
             tensorScores = ops.Softmax(logits, -1);