hfrunner.classify should return list[list[float]] not list[str] (#29671)

Signed-off-by: Chukwuma Nwaugha <nwaughac@gmail.com>

tests/conftest.py

@@ -459,14 +459,17 @@ class HfRunner:
             embeddings.append(embedding)
         return embeddings
 
-    def classify(self, prompts: list[str]) -> list[str]:
+    def classify(self, prompts: list[str]) -> list[list[float]]:
         # output is final logits
         all_inputs = self.get_inputs(prompts)
-        outputs = []
+        outputs: list[list[float]] = []
         problem_type = getattr(self.config, "problem_type", "")
 
         for inputs in all_inputs:
             output = self.model(**self.wrap_device(inputs))
+
+            assert isinstance(output.logits, torch.Tensor)
+
             if problem_type == "regression":
                 logits = output.logits[0].tolist()
             elif problem_type == "multi_label_classification":