diff --git a/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md b/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md
index 0b44696..7f06572 100644
--- a/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md
+++ b/Using-a-TensorFlow-Pretrained-Model-to-Detect-Everyday-Objects.md
@@ -187,4 +187,23 @@ Call the readLabels() method to read the label map and generate the labels list.
         // first.
         initVuforia();
         initTfod();
+```
+
+#### Load Model from a File
+Modify the initTfod() method to load the inference model from a file (rather than as an app asset):
+
+```
+    /**
+     * Initialize the TensorFlow Object Detection engine.
+     */
+    private void initTfod() {
+        int tfodMonitorViewId = hardwareMap.appContext.getResources().getIdentifier(
+            "tfodMonitorViewId", "id", hardwareMap.appContext.getPackageName());
+        TFObjectDetector.Parameters tfodParameters = new TFObjectDetector.Parameters(tfodMonitorViewId);
+        tfodParameters.minResultConfidence = 0.6;
+        tfod = ClassFactory.getInstance().createTFObjectDetector(tfodParameters, vuforia);
+        if(labels != null) {
+            tfod.loadModelFromFile(TFOD_MODEL_FILE, labels);
+        }
+    }
 ```
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