Fix YAML formatting (#384)

* Fix formatting Signed-off-by: Dan Sun <dsun20@bloomberg.net> * Update README.md Signed-off-by: Dan Sun <dsun20@bloomberg.net> --------- Signed-off-by: Dan Sun <dsun20@bloomberg.net>
kserve · Jul 22, 2024 · 3fa6794 · 3fa6794
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diff --git a/docs/modelserving/storage/gcs/gcs.md b/docs/modelserving/storage/gcs/gcs.md
@@ -58,12 +58,14 @@ metadata:
     name: sklearn-gcs
 spec:
   predictor:
-      sklearn:
-        storage:
-          key: gcs
-          path: models/tensorflow/flowers
-          parameters: # Parameters to override the default values
-            bucket: kfserving-examples
+    model:
+      modelFormat:
+        name: sklearn
+      storage:
+        key: gcs
+        path: models/tensorflow/flowers
+        parameters: # Parameters to override the default values
+          bucket: kfserving-examples
 ```
 
 Apply the `sklearn-gcs.yaml`.

diff --git a/docs/modelserving/v1beta1/triton/huggingface/README.md b/docs/modelserving/v1beta1/triton/huggingface/README.md
@@ -20,39 +20,40 @@ Create an InferenceService with triton predictor by specifying the `storageUri`
     metadata:
     name: huggingface-triton
     spec:
-    predictor:
-      model:
-        args:
-        - --log-verbose=1
-        modelFormat:
-          name: triton
-        protocolVersion: v2
-        resources:
-          limits:
-            cpu: "1"
-            memory: 8Gi
-            nvidia.com/gpu: "1"
-          requests:
-            cpu: "1"
-            memory: 8Gi
-        runtimeVersion: 23.10-py3
-        storageUri: gs://kfserving-examples/models/triton/huggingface/model_repository
-    transformer:
-      containers:
-      - args:
-        - --model_name=bert
-        - --model_id=bert-base-uncased
-        - --predictor_protocol=v2
-        - --tensor_input_names=input_ids
-        image: kserve/huggingfaceserver:v0.13.0
-        name: kserve-container
-        resources:
-          limits:
-            cpu: "1"
-            memory: 2Gi
-          requests:
-            cpu: 100m
-            memory: 2Gi
+      predictor:
+        model:
+          args:
+          - --log-verbose=1
+          modelFormat:
+            name: triton
+          protocolVersion: v2
+          resources:
+            limits:
+              cpu: "1"
+              memory: 8Gi
+              nvidia.com/gpu: "1"
+            requests:
+              cpu: "1"
+              memory: 8Gi
+              nvidia.com/gpu: "1"
+          runtimeVersion: 23.10-py3
+          storageUri: gs://kfserving-examples/models/triton/huggingface/model_repository
+      transformer:
+        containers:
+        - args:
+          - --model_name=bert
+          - --model_id=bert-base-uncased
+          - --predictor_protocol=v2
+          - --tensor_input_names=input_ids
+          image: kserve/huggingfaceserver:v0.13.0
+          name: kserve-container
+          resources:
+            limits:
+              cpu: "1"
+              memory: 2Gi
+            requests:
+              cpu: 100m
+              memory: 2Gi
     EOF
     ```