Fix: Add Image URI overrides for transformers models

src/sagemaker/serve/builder/transformers_builder.py

@@ -78,6 +78,25 @@ def _prepare_for_mode(self):
         """Abstract method"""
 
     def _create_transformers_model(self) -> Type[Model]:
+        """Initializes HF model with or without image_uri"""
+        if self.image_uri is None:
+            pysdk_model = self._get_hf_metadata_create_model()
+        else:
+            pysdk_model = HuggingFaceModel(
+                image_uri=self.image_uri,
+                vpc_config=self.vpc_config,
+                env=self.env_vars,
+                role=self.role_arn,
+                sagemaker_session=self.sagemaker_session,
+            )
+
+        logger.info("Detected %s. Proceeding with the the deployment.", self.image_uri)
+
+        self._original_deploy = pysdk_model.deploy
+        pysdk_model.deploy = self._transformers_model_builder_deploy_wrapper
+        return pysdk_model
+
+    def _get_hf_metadata_create_model(self) -> Type[Model]:
         """Initializes the model after fetching image
 
         1. Get the metadata for deciding framework
@@ -132,22 +151,21 @@ def _create_transformers_model(self) -> Type[Model]:
                 vpc_config=self.vpc_config,
             )
 
-        if not self.image_uri and self.mode == Mode.LOCAL_CONTAINER:
+        if self.mode == Mode.LOCAL_CONTAINER:
             self.image_uri = pysdk_model.serving_image_uri(
                 self.sagemaker_session.boto_region_name, "local"
             )
-        elif not self.image_uri:
+        else:
             self.image_uri = pysdk_model.serving_image_uri(
                 self.sagemaker_session.boto_region_name, self.instance_type
             )
 
-        logger.info("Detected %s. Proceeding with the the deployment.", self.image_uri)
+        if pysdk_model is None or self.image_uri is None:
+            raise ValueError("PySDK model unable to be created, try overriding image_uri")
 
         if not pysdk_model.image_uri:
             pysdk_model.image_uri = self.image_uri
 
-        self._original_deploy = pysdk_model.deploy
-        pysdk_model.deploy = self._transformers_model_builder_deploy_wrapper
         return pysdk_model
 
     @_capture_telemetry("transformers.deploy")

tests/integ/sagemaker/serve/test_serve_transformers.py

@@ -127,4 +127,4 @@ def test_pytorch_transformers_sagemaker_endpoint(
                 logger.exception(caught_ex)
                 assert (
                     False
-                ), f"{caught_ex} was thrown when running pytorch transformers sagemaker endpoint test"
+                ), f"{caught_ex} thrown when running pytorch transformers sagemaker endpoint test"

tests/unit/sagemaker/serve/builder/test_transformers_builder.py

@@ -144,3 +144,29 @@ def test_image_uri_override(
 
         with self.assertRaises(ValueError) as _:
             model.deploy(mode=Mode.IN_PROCESS)
+
+    @patch("sagemaker.serve.builder.model_builder.ModelBuilder._build_for_transformers")
+    @patch(
+        "sagemaker.serve.builder.transformers_builder._get_nb_instance",
+        return_value="ml.g5.24xlarge",
+    )
+    @patch("sagemaker.serve.builder.transformers_builder._capture_telemetry", side_effect=None)
+    @patch(
+        "sagemaker.huggingface.llm_utils.get_huggingface_model_metadata",
+        return_value=None,
+    )
+    def test_failure_hf_md(
+        self, mock_model_md, mock_get_nb_instance, mock_telemetry, mock_build_for_transformers
+    ):
+        builder = ModelBuilder(
+            model=mock_model_id,
+            schema_builder=mock_schema_builder,
+            mode=Mode.LOCAL_CONTAINER,
+        )
+
+        builder._prepare_for_mode = MagicMock()
+        builder._prepare_for_mode.side_effect = None
+
+        builder.build()
+
+        mock_build_for_transformers.assert_called_once()