diff --git a/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java b/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java
index b0f4dd19e027..8d4ef42da98b 100644
--- a/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java
+++ b/onnxruntime/onnxruntime-engine/src/main/java/ai/djl/onnxruntime/engine/OrtNDManager.java
@@ -39,7 +39,7 @@ private OrtNDManager(NDManager parent, Device device, OrtEnvironment env) {
         this.env = env;
     }
 
-    static OrtNDManager getSystemManager() {
+    public static OrtNDManager getSystemManager() {
         return SYSTEM_MANAGER;
     }
 
diff --git a/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/engine/PtModel.java b/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/engine/PtModel.java
index 3d56947e34d9..20ee7430fb2d 100644
--- a/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/engine/PtModel.java
+++ b/pytorch/pytorch-engine/src/main/java/ai/djl/pytorch/engine/PtModel.java
@@ -26,6 +26,7 @@
 import ai.djl.util.PairList;
 import java.io.FileNotFoundException;
 import java.io.IOException;
+import java.io.InputStream;
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.util.ArrayList;
@@ -101,6 +102,18 @@ public void load(Path modelPath, String prefix, Map<String, ?> options)
         }
     }
 
+    /**
+     * Load PyTorch model from {@link InputStream}.
+     *
+     * <p>Currently, only TorchScript file are supported
+     *
+     * @param modelStream the stream of the model file
+     * @throws IOException model loading error
+     */
+    public void load(InputStream modelStream) throws IOException {
+        block = JniUtils.loadModule((PtNDManager) manager, modelStream, manager.getDevice(), false);
+    }
+
     private Path findModelFile(String prefix) {
         if (Files.isRegularFile(modelDir)) {
             Path file = modelDir;
diff --git a/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtModelTest.java b/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtModelTest.java
new file mode 100644
index 000000000000..cda9b86d8ddd
--- /dev/null
+++ b/pytorch/pytorch-engine/src/test/java/ai/djl/pytorch/integration/PtModelTest.java
@@ -0,0 +1,43 @@
+/*
+ * Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance
+ * with the License. A copy of the License is located at
+ *
+ * http://aws.amazon.com/apache2.0/
+ *
+ * or in the "license" file accompanying this file. This file 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.
+ */
+package ai.djl.pytorch.integration;
+
+import ai.djl.Model;
+import ai.djl.inference.Predictor;
+import ai.djl.ndarray.NDArray;
+import ai.djl.ndarray.NDList;
+import ai.djl.ndarray.types.Shape;
+import ai.djl.pytorch.engine.PtModel;
+import ai.djl.translate.NoopTranslator;
+import ai.djl.translate.TranslateException;
+import java.io.IOException;
+import java.net.URL;
+import org.testng.Assert;
+import org.testng.annotations.Test;
+
+public class PtModelTest {
+
+    @Test
+    public void testLoadFromStream() throws IOException, TranslateException {
+        URL url =
+                new URL("https://djl-ai.s3.amazonaws.com/resources/test-models/traced_resnet18.pt");
+        try (PtModel model = (PtModel) Model.newInstance("test model")) {
+            model.load(url.openStream());
+            try (Predictor<NDList, NDList> predictor = model.newPredictor(new NoopTranslator())) {
+                NDArray array = model.getNDManager().ones(new Shape(1, 3, 224, 224));
+                NDArray result = predictor.predict(new NDList(array)).singletonOrThrow();
+                Assert.assertEquals(result.getShape(), new Shape(1, 1000));
+            }
+        }
+    }
+}