diff --git a/samples/model-builder/conftest.py b/samples/model-builder/conftest.py
index 3f60573613..718f4645ff 100644
--- a/samples/model-builder/conftest.py
+++ b/samples/model-builder/conftest.py
@@ -220,7 +220,7 @@ def mock_model():
 
 
 @pytest.fixture
-def mock_get_model(mock_model):
+def mock_init_model(mock_model):
     with patch.object(aiplatform, "Model") as mock:
         mock.return_value = mock_model
         yield mock
@@ -232,6 +232,19 @@ def mock_batch_predict_model(mock_model):
         yield mock
 
 
+@pytest.fixture
+def mock_upload_model():
+    with patch.object(aiplatform.models.Model, "upload") as mock:
+        yield mock
+
+
+@pytest.fixture
+def mock_deploy_model(mock_model, mock_endpoint):
+    with patch.object(mock_model, "deploy") as mock:
+        mock.return_value = mock_endpoint
+        yield mock
+
+
 """
 ----------------------------------------------------------------------------
 Job Fixtures
diff --git a/samples/model-builder/create_batch_prediction_job_sample_test.py b/samples/model-builder/create_batch_prediction_job_sample_test.py
index 6d3c68e77e..a3eb5ed085 100644
--- a/samples/model-builder/create_batch_prediction_job_sample_test.py
+++ b/samples/model-builder/create_batch_prediction_job_sample_test.py
@@ -18,7 +18,7 @@
 
 
 def test_create_batch_prediction_job_sample(
-    mock_sdk_init, mock_get_model, mock_batch_predict_model
+    mock_sdk_init, mock_model, mock_init_model, mock_batch_predict_model
 ):
 
     create_batch_prediction_job_sample.create_batch_prediction_job_sample(
@@ -33,7 +33,7 @@ def test_create_batch_prediction_job_sample(
     mock_sdk_init.assert_called_once_with(
         project=constants.PROJECT, location=constants.LOCATION
     )
-    mock_get_model.assert_called_once_with(constants.MODEL_NAME)
+    mock_init_model.assert_called_once_with(constants.MODEL_NAME)
     mock_batch_predict_model.assert_called_once_with(
         job_display_name=constants.DISPLAY_NAME,
         gcs_source=constants.GCS_SOURCES,
diff --git a/samples/model-builder/deploy_model_with_automatic_resources_sample.py b/samples/model-builder/deploy_model_with_automatic_resources_sample.py
new file mode 100644
index 0000000000..27976ae652
--- /dev/null
+++ b/samples/model-builder/deploy_model_with_automatic_resources_sample.py
@@ -0,0 +1,57 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Dict, Optional, Sequence, Tuple
+
+from google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_deploy_model_with_automatic_resources_sample]
+def deploy_model_with_automatic_resources_sample(
+    project,
+    location,
+    model_name: str,
+    endpoint: Optional[aiplatform.Endpoint] = None,
+    deployed_model_display_name: Optional[str] = None,
+    traffic_percentage: Optional[int] = 0,
+    traffic_split: Optional[Dict[str, int]] = None,
+    min_replica_count: int = 1,
+    max_replica_count: int = 1,
+    metadata: Optional[Sequence[Tuple[str, str]]] = (),
+    sync: bool = True,
+):
+
+    aiplatform.init(project=project, location=location)
+
+    model = aiplatform.Model(model_name=model_name)
+
+    model.deploy(
+        endpoint=endpoint,
+        deployed_model_display_name=deployed_model_display_name,
+        traffic_percentage=traffic_percentage,
+        traffic_split=traffic_split,
+        min_replica_count=min_replica_count,
+        max_replica_count=max_replica_count,
+        metadata=metadata,
+        sync=sync,
+    )
+
+    model.wait()
+
+    print(model.display_name)
+    print(model.resource_name)
+    return model
+
+
+#  [END aiplatform_sdk_deploy_model_with_automatic_resources_sample]
diff --git a/samples/model-builder/deploy_model_with_automatic_resources_test.py b/samples/model-builder/deploy_model_with_automatic_resources_test.py
new file mode 100644
index 0000000000..fff08b6e7e
--- /dev/null
+++ b/samples/model-builder/deploy_model_with_automatic_resources_test.py
@@ -0,0 +1,52 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import deploy_model_with_automatic_resources_sample
+import test_constants as constants
+
+
+def test_deploy_model_with_automatic_resources_sample(
+    mock_sdk_init, mock_model, mock_init_model, mock_deploy_model,
+):
+
+    deploy_model_with_automatic_resources_sample.deploy_model_with_automatic_resources_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        model_name=constants.MODEL_NAME,
+        endpoint=constants.ENDPOINT_NAME,
+        deployed_model_display_name=constants.DEPLOYED_MODEL_DISPLAY_NAME,
+        traffic_percentage=constants.TRAFFIC_PERCENTAGE,
+        traffic_split=constants.TRAFFIC_SPLIT,
+        min_replica_count=constants.MIN_REPLICA_COUNT,
+        max_replica_count=constants.MAX_REPLICA_COUNT,
+        metadata=constants.ENDPOINT_DEPLOY_METADATA,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_init_model.assert_called_once_with(model_name=constants.MODEL_NAME)
+
+    mock_deploy_model.assert_called_once_with(
+        endpoint=constants.ENDPOINT_NAME,
+        deployed_model_display_name=constants.DEPLOYED_MODEL_DISPLAY_NAME,
+        traffic_percentage=constants.TRAFFIC_PERCENTAGE,
+        traffic_split=constants.TRAFFIC_SPLIT,
+        min_replica_count=constants.MIN_REPLICA_COUNT,
+        max_replica_count=constants.MAX_REPLICA_COUNT,
+        metadata=constants.ENDPOINT_DEPLOY_METADATA,
+        sync=True,
+    )
diff --git a/samples/model-builder/deploy_model_with_dedicated_resources_sample.py b/samples/model-builder/deploy_model_with_dedicated_resources_sample.py
new file mode 100644
index 0000000000..093dfae805
--- /dev/null
+++ b/samples/model-builder/deploy_model_with_dedicated_resources_sample.py
@@ -0,0 +1,70 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Dict, Optional, Sequence, Tuple
+
+from google.cloud import aiplatform
+from google.cloud.aiplatform import explain
+
+
+#  [START aiplatform_sdk_deploy_model_with_dedicated_resources_sample]
+def deploy_model_with_dedicated_resources_sample(
+    project,
+    location,
+    model_name: str,
+    machine_type: str,
+    endpoint: Optional[aiplatform.Endpoint] = None,
+    deployed_model_display_name: Optional[str] = None,
+    traffic_percentage: Optional[int] = 0,
+    traffic_split: Optional[Dict[str, int]] = None,
+    min_replica_count: int = 1,
+    max_replica_count: int = 1,
+    accelerator_type: Optional[str] = None,
+    accelerator_count: Optional[int] = None,
+    explanation_metadata: Optional[explain.ExplanationMetadata] = None,
+    explanation_parameters: Optional[explain.ExplanationParameters] = None,
+    metadata: Optional[Sequence[Tuple[str, str]]] = (),
+    sync: bool = True,
+):
+
+    aiplatform.init(project=project, location=location)
+
+    model = aiplatform.Model(model_name=model_name)
+
+    # The explanation_metadata and explanation_parameters should only be
+    # provided for a custom trained model and not an AutoML model.
+    model.deploy(
+        endpoint=endpoint,
+        deployed_model_display_name=deployed_model_display_name,
+        traffic_percentage=traffic_percentage,
+        traffic_split=traffic_split,
+        machine_type=machine_type,
+        min_replica_count=min_replica_count,
+        max_replica_count=max_replica_count,
+        accelerator_type=accelerator_type,
+        accelerator_count=accelerator_count,
+        explanation_metadata=explanation_metadata,
+        explanation_parameters=explanation_parameters,
+        metadata=metadata,
+        sync=sync,
+    )
+
+    model.wait()
+
+    print(model.display_name)
+    print(model.resource_name)
+    return model
+
+
+#  [END aiplatform_sdk_deploy_model_with_dedicated_resources_sample]
diff --git a/samples/model-builder/deploy_model_with_dedicated_resources_test.py b/samples/model-builder/deploy_model_with_dedicated_resources_test.py
new file mode 100644
index 0000000000..6dac9ad6e3
--- /dev/null
+++ b/samples/model-builder/deploy_model_with_dedicated_resources_test.py
@@ -0,0 +1,62 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import deploy_model_with_dedicated_resources_sample
+import test_constants as constants
+
+
+def test_deploy_model_with_dedicated_resources_sample(
+    mock_sdk_init, mock_model, mock_init_model, mock_deploy_model
+):
+
+    deploy_model_with_dedicated_resources_sample.deploy_model_with_dedicated_resources_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        machine_type=constants.MACHINE_TYPE,
+        model_name=constants.MODEL_NAME,
+        endpoint=constants.ENDPOINT_NAME,
+        deployed_model_display_name=constants.DEPLOYED_MODEL_DISPLAY_NAME,
+        traffic_percentage=constants.TRAFFIC_PERCENTAGE,
+        traffic_split=constants.TRAFFIC_SPLIT,
+        min_replica_count=constants.MIN_REPLICA_COUNT,
+        max_replica_count=constants.MAX_REPLICA_COUNT,
+        accelerator_type=constants.ACCELERATOR_TYPE,
+        accelerator_count=constants.ACCELERATOR_COUNT,
+        explanation_metadata=constants.EXPLANATION_METADATA,
+        explanation_parameters=constants.EXPLANATION_PARAMETERS,
+        metadata=constants.ENDPOINT_DEPLOY_METADATA,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_init_model.assert_called_once_with(model_name=constants.MODEL_NAME)
+
+    mock_deploy_model.assert_called_once_with(
+        endpoint=constants.ENDPOINT_NAME,
+        deployed_model_display_name=constants.DEPLOYED_MODEL_DISPLAY_NAME,
+        traffic_percentage=constants.TRAFFIC_PERCENTAGE,
+        traffic_split=constants.TRAFFIC_SPLIT,
+        machine_type=constants.MACHINE_TYPE,
+        min_replica_count=constants.MIN_REPLICA_COUNT,
+        max_replica_count=constants.MAX_REPLICA_COUNT,
+        accelerator_type=constants.ACCELERATOR_TYPE,
+        accelerator_count=constants.ACCELERATOR_COUNT,
+        explanation_metadata=constants.EXPLANATION_METADATA,
+        explanation_parameters=constants.EXPLANATION_PARAMETERS,
+        metadata=constants.ENDPOINT_DEPLOY_METADATA,
+        sync=True,
+    )
diff --git a/samples/model-builder/get_model_sample.py b/samples/model-builder/get_model_sample.py
new file mode 100644
index 0000000000..e5dff928ac
--- /dev/null
+++ b/samples/model-builder/get_model_sample.py
@@ -0,0 +1,31 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+from google.cloud import aiplatform
+
+
+#  [START aiplatform_sdk_get_model_sample]
+def get_model_sample(project: str, location: str, model_name: str):
+
+    aiplatform.init(project=project, location=location)
+
+    model = aiplatform.Model(model_name=model_name)
+
+    print(model.display_name)
+    print(model.resource_name)
+    return model
+
+
+#  [END aiplatform_sdk_get_model_sample]
diff --git a/samples/model-builder/get_model_test.py b/samples/model-builder/get_model_test.py
new file mode 100644
index 0000000000..4bb5f5fddb
--- /dev/null
+++ b/samples/model-builder/get_model_test.py
@@ -0,0 +1,32 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+import get_model_sample
+import test_constants as constants
+
+
+def test_get_model_sample(mock_sdk_init, mock_init_model):
+
+    get_model_sample.get_model_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        model_name=constants.MODEL_NAME,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_init_model.assert_called_once_with(model_name=constants.MODEL_NAME)
diff --git a/samples/model-builder/test_constants.py b/samples/model-builder/test_constants.py
index aabd4f9637..994a8724ee 100644
--- a/samples/model-builder/test_constants.py
+++ b/samples/model-builder/test_constants.py
@@ -16,6 +16,7 @@
 from uuid import uuid4
 
 from google.auth import credentials
+from google.cloud import aiplatform
 
 PROJECT = "abc"
 LOCATION = "us-central1"
@@ -97,3 +98,54 @@
 MACHINE_TYPE = "n1-standard-4"
 ACCELERATOR_TYPE = "ACCELERATOR_TYPE_UNSPECIFIED"
 ACCELERATOR_COUNT = 0
+
+# Model constants
+MODEL_RESOURCE_NAME = f"{PARENT}/models/1234"
+MODEL_ARTIFACT_URI = "gs://bucket3/output-dir/"
+SERVING_CONTAINER_IMAGE_URI = "http://gcr.io/test/test:latest"
+SERVING_CONTAINER_IMAGE = "gcr.io/test-serving/container:image"
+SERVING_CONTAINER_PREDICT_ROUTE = "predict"
+SERVING_CONTAINER_HEALTH_ROUTE = "metadata"
+DESCRIPTION = "test description"
+SERVING_CONTAINER_COMMAND = ["python3", "run_my_model.py"]
+SERVING_CONTAINER_ARGS = ["--test", "arg"]
+SERVING_CONTAINER_ENVIRONMENT_VARIABLES = {
+    "learning_rate": 0.01,
+    "loss_fn": "mse",
+}
+SERVING_CONTAINER_PORTS = [8888, 10000]
+INSTANCE_SCHEMA_URI = "gs://test/schema/instance.yaml"
+PARAMETERS_SCHEMA_URI = "gs://test/schema/parameters.yaml"
+PREDICTION_SCHEMA_URI = "gs://test/schema/predictions.yaml"
+
+MODEL_DESCRIPTION = "This is a model"
+SERVING_CONTAINER_COMMAND = ["python3", "run_my_model.py"]
+SERVING_CONTAINER_ARGS = ["--test", "arg"]
+SERVING_CONTAINER_ENVIRONMENT_VARIABLES = {
+    "learning_rate": 0.01,
+    "loss_fn": "mse",
+}
+
+SERVING_CONTAINER_PORTS = [8888, 10000]
+EXPLANATION_METADATA = aiplatform.explain.ExplanationMetadata(
+    inputs={
+        "features": {
+            "input_tensor_name": "dense_input",
+            "encoding": "BAG_OF_FEATURES",
+            "modality": "numeric",
+            "index_feature_mapping": ["abc", "def", "ghj"],
+        }
+    },
+    outputs={"medv": {"output_tensor_name": "dense_2"}},
+)
+EXPLANATION_PARAMETERS = aiplatform.explain.ExplanationParameters(
+    {"sampled_shapley_attribution": {"path_count": 10}}
+)
+
+# Endpoint constants
+DEPLOYED_MODEL_DISPLAY_NAME = "model_name"
+TRAFFIC_PERCENTAGE = 80
+TRAFFIC_SPLIT = {"a": 99, "b": 1}
+MIN_REPLICA_COUNT = 1
+MAX_REPLICA_COUNT = 1
+ENDPOINT_DEPLOY_METADATA = ()
diff --git a/samples/model-builder/upload_model_sample.py b/samples/model-builder/upload_model_sample.py
new file mode 100644
index 0000000000..05cb910b12
--- /dev/null
+++ b/samples/model-builder/upload_model_sample.py
@@ -0,0 +1,71 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Dict, Optional, Sequence
+
+from google.cloud import aiplatform
+from google.cloud.aiplatform import explain
+
+
+#  [START aiplatform_sdk_upload_model_sample]
+def upload_model_sample(
+    project: str,
+    location: str,
+    display_name: str,
+    serving_container_image_uri: str,
+    artifact_uri: Optional[str] = None,
+    serving_container_predict_route: Optional[str] = None,
+    serving_container_health_route: Optional[str] = None,
+    description: Optional[str] = None,
+    serving_container_command: Optional[Sequence[str]] = None,
+    serving_container_args: Optional[Sequence[str]] = None,
+    serving_container_environment_variables: Optional[Dict[str, str]] = None,
+    serving_container_ports: Optional[Sequence[int]] = None,
+    instance_schema_uri: Optional[str] = None,
+    parameters_schema_uri: Optional[str] = None,
+    prediction_schema_uri: Optional[str] = None,
+    explanation_metadata: Optional[explain.ExplanationMetadata] = None,
+    explanation_parameters: Optional[explain.ExplanationParameters] = None,
+    sync: bool = True,
+):
+
+    aiplatform.init(project=project, location=location)
+
+    model = aiplatform.Model.upload(
+        display_name=display_name,
+        artifact_uri=artifact_uri,
+        serving_container_image_uri=serving_container_image_uri,
+        serving_container_predict_route=serving_container_predict_route,
+        serving_container_health_route=serving_container_health_route,
+        instance_schema_uri=instance_schema_uri,
+        parameters_schema_uri=parameters_schema_uri,
+        prediction_schema_uri=prediction_schema_uri,
+        description=description,
+        serving_container_command=serving_container_command,
+        serving_container_args=serving_container_args,
+        serving_container_environment_variables=serving_container_environment_variables,
+        serving_container_ports=serving_container_ports,
+        explanation_metadata=explanation_metadata,
+        explanation_parameters=explanation_parameters,
+        sync=sync,
+    )
+
+    model.wait()
+
+    print(model.display_name)
+    print(model.resource_name)
+    return model
+
+
+#  [END aiplatform_sdk_upload_model_sample]
diff --git a/samples/model-builder/upload_model_test.py b/samples/model-builder/upload_model_test.py
new file mode 100644
index 0000000000..ea00051c1a
--- /dev/null
+++ b/samples/model-builder/upload_model_test.py
@@ -0,0 +1,62 @@
+# Copyright 2021 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import test_constants as constants
+import upload_model_sample
+
+
+def test_upload_model_sample(mock_sdk_init, mock_upload_model):
+
+    upload_model_sample.upload_model_sample(
+        project=constants.PROJECT,
+        location=constants.LOCATION,
+        display_name=constants.MODEL_NAME,
+        artifact_uri=constants.MODEL_ARTIFACT_URI,
+        serving_container_image_uri=constants.SERVING_CONTAINER_IMAGE_URI,
+        serving_container_predict_route=constants.SERVING_CONTAINER_PREDICT_ROUTE,
+        serving_container_health_route=constants.SERVING_CONTAINER_HEALTH_ROUTE,
+        instance_schema_uri=constants.INSTANCE_SCHEMA_URI,
+        parameters_schema_uri=constants.PARAMETERS_SCHEMA_URI,
+        prediction_schema_uri=constants.PREDICTION_SCHEMA_URI,
+        description=constants.MODEL_DESCRIPTION,
+        serving_container_command=constants.SERVING_CONTAINER_COMMAND,
+        serving_container_args=constants.SERVING_CONTAINER_ARGS,
+        serving_container_environment_variables=constants.SERVING_CONTAINER_ENVIRONMENT_VARIABLES,
+        serving_container_ports=constants.SERVING_CONTAINER_PORTS,
+        explanation_metadata=constants.EXPLANATION_METADATA,
+        explanation_parameters=constants.EXPLANATION_PARAMETERS,
+    )
+
+    mock_sdk_init.assert_called_once_with(
+        project=constants.PROJECT, location=constants.LOCATION
+    )
+
+    mock_upload_model.assert_called_once_with(
+        display_name=constants.MODEL_NAME,
+        artifact_uri=constants.MODEL_ARTIFACT_URI,
+        serving_container_image_uri=constants.SERVING_CONTAINER_IMAGE_URI,
+        serving_container_predict_route=constants.SERVING_CONTAINER_PREDICT_ROUTE,
+        serving_container_health_route=constants.SERVING_CONTAINER_HEALTH_ROUTE,
+        instance_schema_uri=constants.INSTANCE_SCHEMA_URI,
+        parameters_schema_uri=constants.PARAMETERS_SCHEMA_URI,
+        prediction_schema_uri=constants.PREDICTION_SCHEMA_URI,
+        description=constants.MODEL_DESCRIPTION,
+        serving_container_command=constants.SERVING_CONTAINER_COMMAND,
+        serving_container_args=constants.SERVING_CONTAINER_ARGS,
+        serving_container_environment_variables=constants.SERVING_CONTAINER_ENVIRONMENT_VARIABLES,
+        serving_container_ports=constants.SERVING_CONTAINER_PORTS,
+        explanation_metadata=constants.EXPLANATION_METADATA,
+        explanation_parameters=constants.EXPLANATION_PARAMETERS,
+        sync=True,
+    )