Merge pull request opendatahub-io#772 from openshift-cherrypick-robot/cherry-pick-703-to-main

[main] add MLSERVER_MODEL_IMPLEMENTATION to env

Author: Jooho

config/runtimes/mlserver-template.yaml

@@ -6,7 +6,7 @@ metadata:
     opendatahub.io/ootb: 'true'
   annotations:
     description: MLServer is a lightweight, extensible inference server for serving machine learning models across multiple frameworks.
-    openshift.io/display-name: MLServer ServingRuntime for KServe - Tech Preview
+    openshift.io/display-name: MLServer ServingRuntime for KServe
     openshift.io/provider-display-name: Red Hat, Inc.
     tags: rhods,rhoai,kserve,servingruntime
     template.openshift.io/long-description: This template defines resources needed to deploy MLServer ServingRuntime with KServe in Red Hat OpenShift AI
@@ -20,8 +20,9 @@ objects:
     metadata:
       name: mlserver-runtime
       annotations:
-        openshift.io/display-name: MLServer ServingRuntime for KServe - Tech Preview
+        openshift.io/display-name: MLServer ServingRuntime for KServe
         opendatahub.io/runtime-version: '1.7.1'
+        serving.kserve.io/server-type: mlserver
       labels:
         opendatahub.io/dashboard: 'true'
     spec:
@@ -34,8 +35,8 @@ objects:
         - name: kserve-container
           image: $(mlserver-image)
           env:
-            - name: MLSERVER_MODEL_NAME
-              value: '{{.Name}}'
+            - name: MLSERVER_MODEL_IMPLEMENTATION
+              value: '{{.Labels.modelClass}}'
             - name: MLSERVER_HTTP_PORT
               value: '8080'
             - name: MLSERVER_MODELS_DIR