[PR-941]: Fixed the Error-Handling for Non-Existent Models (#835)

* [PR-941]: Fixed the Error-Handling for Non-Existent Models

* [PR-941]: Fixed the Error-Handling for Non-Existent Models

Author: srikanthbachala20

clarifai/client/model.py

@@ -123,6 +123,8 @@ def __init__(
 
         self.deployment_user_id = deployment_user_id
 
+        self.load_info(validate=True)
+
         self._set_runner_selector(
             compute_cluster_id=compute_cluster_id,
             nodepool_id=nodepool_id,
@@ -1235,7 +1237,20 @@ def _list_concepts(self) -> List[str]:
         )
         return [concept_info['concept_id'] for concept_info in all_concepts_infos]
 
-    def load_info(self) -> None:
+    def load_info(self, validate: bool = False) -> None:
+        """Loads the model information from the Clarifai API.
+
+        This method makes a gRPC call to the GetModel endpoint to fetch the latest
+        information for the model instance and updates its attributes.
+
+        Args:
+            validate (bool, optional): If True, the method will only validate the existence
+                of the model on the backend without updating the local object's attributes.
+                Defaults to False.
+
+        Raises:
+            Exception: If the gRPC API call fails.
+        """
         """Loads the model info."""
         request = service_pb2.GetModelRequest(
             user_app_id=self.user_app_id,
@@ -1247,10 +1262,11 @@ def load_info(self) -> None:
         if response.status.code != status_code_pb2.SUCCESS:
             raise Exception(response.status)
 
-        dict_response = MessageToDict(response, preserving_proto_field_name=True)
-        self.kwargs = self.process_response_keys(dict_response['model'])
-        self.model_info = resources_pb2.Model()
-        dict_to_protobuf(self.model_info, self.kwargs)
+        if not validate:
+            dict_response = MessageToDict(response, preserving_proto_field_name=True)
+            self.kwargs = self.process_response_keys(dict_response['model'])
+            self.model_info = resources_pb2.Model()
+            dict_to_protobuf(self.model_info, self.kwargs)
 
     def __str__(self):
         if len(self.kwargs) < 10: