fix: removing kwargs as this is breaking predictor_cls param for mode…

src/sagemaker/model.py

@@ -1377,6 +1377,7 @@ def deploy(
         managed_instance_scaling: Optional[str] = None,
         inference_component_name=None,
         routing_config: Optional[Dict[str, Any]] = None,
+        model_reference_arn: Optional[str] = None,
         **kwargs,
     ):
         """Deploy this ``Model`` to an ``Endpoint`` and optionally return a ``Predictor``.
@@ -1483,6 +1484,8 @@ def deploy(
                     {
                         "RoutingStrategy":  sagemaker.enums.RoutingStrategy.RANDOM
                     }
+            model_reference_arn (Optional [str]): Hub Content Arn of a Model Reference type
+                content (default: None).
         Raises:
              ValueError: If arguments combination check failed in these circumstances:
                 - If no role is specified or
@@ -1697,7 +1700,8 @@ def deploy(
                 accelerator_type=accelerator_type,
                 tags=tags,
                 serverless_inference_config=serverless_inference_config,
-                **kwargs,
+                accept_eula=accept_eula,
+                model_reference_arn=model_reference_arn
             )
             serverless_inference_config_dict = (
                 serverless_inference_config._to_request_dict() if is_serverless else None