diff --git a/packages/google-cloud-automl/README.md b/packages/google-cloud-automl/README.md
index 37022ee4dd8..1473a0572a5 100644
--- a/packages/google-cloud-automl/README.md
+++ b/packages/google-cloud-automl/README.md
@@ -44,7 +44,7 @@ Google APIs Client Libraries, in [Client Libraries Explained][explained].
 1.  [Select or create a Cloud Platform project][projects].
 1.  [Enable billing for your project][billing].
 1.  [Enable the Cloud AutoML API][enable_api].
-1.  [Set up authentication with a service account][auth] so you can access the
+1.  [Set up authentication][auth] so you can access the
     API from your local workstation.
 
 ### Installing the client library
@@ -250,4 +250,4 @@ See [LICENSE](https://github.com/googleapis/google-cloud-node/blob/main/LICENSE)
 [projects]: https://console.cloud.google.com/project
 [billing]: https://support.google.com/cloud/answer/6293499#enable-billing
 [enable_api]: https://console.cloud.google.com/flows/enableapi?apiid=automl.googleapis.com
-[auth]: https://cloud.google.com/docs/authentication/getting-started
+[auth]: https://cloud.google.com/docs/authentication/external/set-up-adc-local
diff --git a/packages/google-cloud-automl/protos/google/cloud/automl/v1/io.proto b/packages/google-cloud-automl/protos/google/cloud/automl/v1/io.proto
index 8018851f9c5..77d5d36922a 100644
--- a/packages/google-cloud-automl/protos/google/cloud/automl/v1/io.proto
+++ b/packages/google-cloud-automl/protos/google/cloud/automl/v1/io.proto
@@ -25,7 +25,8 @@ option java_package = "com.google.cloud.automl.v1";
 option php_namespace = "Google\\Cloud\\AutoMl\\V1";
 option ruby_package = "Google::Cloud::AutoML::V1";
 
-// Input configuration for [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] action.
+// Input configuration for
+// [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData] action.
 //
 // The format of input depends on dataset_metadata the Dataset into which
 // the import is happening has. As input source the
@@ -41,10 +42,10 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 // The formats are represented in EBNF with commas being literal and with
 // non-terminal symbols defined near the end of this comment. The formats are:
 //
-// <h4>AutoML Vision</h4>
+// #### AutoML Vision
 //
 //
-// <div class="ds-selector-tabs"><section><h5>Classification</h5>
+// ##### Classification
 //
 // See [Preparing your training
 // data](https://cloud.google.com/vision/automl/docs/prepare) for more
@@ -81,7 +82,7 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 //     UNASSIGNED,gs://folder/image4.jpg
 //
 //
-// </section><section><h5>Object Detection</h5>
+// ##### Object Detection
 // See [Preparing your training
 // data](https://cloud.google.com/vision/automl/object-detection/docs/prepare)
 // for more information.
@@ -123,10 +124,10 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 // </div>
 //
 //
-// <h4>AutoML Video Intelligence</h4>
+// #### AutoML Video Intelligence
 //
 //
-// <div class="ds-selector-tabs"><section><h5>Classification</h5>
+// ##### Classification
 //
 // See [Preparing your training
 // data](https://cloud.google.com/video-intelligence/automl/docs/prepare) for
@@ -169,7 +170,7 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 //
 //
 //
-// </section><section><h5>Object Tracking</h5>
+// ##### Object Tracking
 //
 // See [Preparing your training
 // data](/video-intelligence/automl/object-tracking/docs/prepare) for more
@@ -220,14 +221,12 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 //      gs://folder/video1.avi,bike,,12.50,.45,.45,,,.55,.55,,
 //      gs://folder/video2.avi,car,1,0,.1,.9,,,.9,.1,,
 //      gs://folder/video2.avi,,,,,,,,,,,
-//   </section>
-// </div>
 //
 //
-// <h4>AutoML Natural Language</h4>
+// #### AutoML Natural Language
 //
 //
-// <div class="ds-selector-tabs"><section><h5>Entity Extraction</h5>
+// ##### Entity Extraction
 //
 // See [Preparing your training
 // data](/natural-language/automl/entity-analysis/docs/prepare) for more
@@ -410,7 +409,7 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 //
 //
 //
-// </section><section><h5>Classification</h5>
+// ##### Classification
 //
 // See [Preparing your training
 // data](https://cloud.google.com/natural-language/automl/docs/prepare) for more
@@ -457,7 +456,7 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 //
 //
 //
-// </section><section><h5>Sentiment Analysis</h5>
+// ##### Sentiment Analysis
 //
 // See [Preparing your training
 // data](https://cloud.google.com/natural-language/automl/docs/prepare) for more
@@ -514,13 +513,10 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 //     gs://folder/content.txt,3
 //     TEST,gs://folder/document.pdf
 //     VALIDATE,gs://folder/text_files.zip,2
-//   </section>
-// </div>
 //
 //
 //
-// <h4>AutoML Tables</h4><div class="ui-datasection-main"><section
-// class="selected">
+// #### AutoML Tables
 //
 // See [Preparing your training
 // data](https://cloud.google.com/automl-tables/docs/prepare) for more
@@ -559,8 +555,6 @@ option ruby_package = "Google::Cloud::AutoML::V1";
 // and between 1000 and 100,000,000 rows, inclusive. There are at most 5
 // import data running in parallel.
 //
-//   </section>
-// </div>
 //
 //
 // **Input field definitions:**
@@ -641,8 +635,9 @@ message InputConfig {
   // The source of the input.
   oneof source {
     // The Google Cloud Storage location for the input content.
-    // For [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData], `gcs_source` points to a CSV file with
-    // a structure described in [InputConfig][google.cloud.automl.v1.InputConfig].
+    // For [AutoMl.ImportData][google.cloud.automl.v1.AutoMl.ImportData],
+    // `gcs_source` points to a CSV file with a structure described in
+    // [InputConfig][google.cloud.automl.v1.InputConfig].
     GcsSource gcs_source = 1;
   }
 
@@ -650,7 +645,7 @@ message InputConfig {
   // imported data, any string must be up to 25000
   // characters long.
   //
-  // <h4>AutoML Tables</h4>
+  // #### AutoML Tables
   //
   // `schema_inference_version`
   // : (integer) This value must be supplied.
@@ -671,8 +666,8 @@ message InputConfig {
 // non-terminal symbols defined near the end of this comment. The formats
 // are:
 //
-// <h4>AutoML Vision</h4>
-// <div class="ds-selector-tabs"><section><h5>Classification</h5>
+// #### AutoML Vision
+// ##### Classification
 //
 // One or more CSV files where each line is a single column:
 //
@@ -688,7 +683,7 @@ message InputConfig {
 //     gs://folder/image2.gif
 //     gs://folder/image3.png
 //
-// </section><section><h5>Object Detection</h5>
+// ##### Object Detection
 //
 // One or more CSV files where each line is a single column:
 //
@@ -703,11 +698,9 @@ message InputConfig {
 //     gs://folder/image1.jpeg
 //     gs://folder/image2.gif
 //     gs://folder/image3.png
-//   </section>
-// </div>
 //
-// <h4>AutoML Video Intelligence</h4>
-// <div class="ds-selector-tabs"><section><h5>Classification</h5>
+// #### AutoML Video Intelligence
+// ##### Classification
 //
 // One or more CSV files where each line is a single column:
 //
@@ -726,7 +719,7 @@ message InputConfig {
 //     gs://folder/video1.mp4,20,60
 //     gs://folder/vid2.mov,0,inf
 //
-// </section><section><h5>Object Tracking</h5>
+// ##### Object Tracking
 //
 // One or more CSV files where each line is a single column:
 //
@@ -744,11 +737,9 @@ message InputConfig {
 //     gs://folder/video1.mp4,10,40
 //     gs://folder/video1.mp4,20,60
 //     gs://folder/vid2.mov,0,inf
-//   </section>
-// </div>
 //
-// <h4>AutoML Natural Language</h4>
-// <div class="ds-selector-tabs"><section><h5>Classification</h5>
+// #### AutoML Natural Language
+// ##### Classification
 //
 // One or more CSV files where each line is a single column:
 //
@@ -765,7 +756,7 @@ message InputConfig {
 //     gs://folder/text2.pdf
 //     gs://folder/text3.tif
 //
-// </section><section><h5>Sentiment Analysis</h5>
+// ##### Sentiment Analysis
 // One or more CSV files where each line is a single column:
 //
 //     GCS_FILE_PATH
@@ -781,7 +772,7 @@ message InputConfig {
 //     gs://folder/text2.pdf
 //     gs://folder/text3.tif
 //
-// </section><section><h5>Entity Extraction</h5>
+// ##### Entity Extraction
 //
 // One or more JSONL (JSON Lines) files that either provide inline text or
 // documents. You can only use one format, either inline text or documents,
@@ -851,11 +842,8 @@ message InputConfig {
 //          }
 //        }
 //      }
-//   </section>
-// </div>
 //
-// <h4>AutoML Tables</h4><div class="ui-datasection-main"><section
-// class="selected">
+// #### AutoML Tables
 //
 // See [Preparing your training
 // data](https://cloud.google.com/automl-tables/docs/predict-batch) for more
@@ -901,8 +889,6 @@ message InputConfig {
 // input feature column specs must contain values compatible with the
 // column spec's data types. Prediction on all the rows of the table
 // will be attempted.
-//   </section>
-// </div>
 //
 // **Input field definitions:**
 //
@@ -984,9 +970,10 @@ message DocumentInputConfig {
 message OutputConfig {
   // The destination of the output.
   oneof destination {
-    // Required. The Google Cloud Storage location where the output is to be written to.
-    // For Image Object Detection, Text Extraction, Video Classification and
-    // Tables, in the given directory a new directory will be created with name:
+    // Required. The Google Cloud Storage location where the output is to be
+    // written to. For Image Object Detection, Text Extraction, Video
+    // Classification and Tables, in the given directory a new directory will be
+    // created with name:
     // export_data-<dataset-display-name>-<timestamp-of-export-call> where
     // timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export
     // output will be written into that directory.
@@ -1246,8 +1233,8 @@ message OutputConfig {
 message BatchPredictOutputConfig {
   // The destination of the output.
   oneof destination {
-    // Required. The Google Cloud Storage location of the directory where the output is to
-    // be written to.
+    // Required. The Google Cloud Storage location of the directory where the
+    // output is to be written to.
     GcsDestination gcs_destination = 1 [(google.api.field_behavior) = REQUIRED];
   }
 }
@@ -1256,8 +1243,9 @@ message BatchPredictOutputConfig {
 message ModelExportOutputConfig {
   // The destination of the output.
   oneof destination {
-    // Required. The Google Cloud Storage location where the model is to be written to.
-    // This location may only be set for the following model formats:
+    // Required. The Google Cloud Storage location where the model is to be
+    // written to. This location may only be set for the following model
+    // formats:
     //   "tflite", "edgetpu_tflite", "tf_saved_model", "tf_js", "core_ml".
     //
     //  Under the directory given as the destination a new one with name
diff --git a/packages/google-cloud-automl/protos/protos.json b/packages/google-cloud-automl/protos/protos.json
index 34de0fd8065..50cae48e4f8 100644
--- a/packages/google-cloud-automl/protos/protos.json
+++ b/packages/google-cloud-automl/protos/protos.json
@@ -1,4 +1,7 @@
 {
+  "options": {
+    "syntax": "proto3"
+  },
   "nested": {
     "google": {
       "nested": {