diff --git a/Jenkinsfile-predict-s444356 b/Jenkinsfile-predict-s444356
new file mode 100644
index 0000000..f97dc69
--- /dev/null
+++ b/Jenkinsfile-predict-s444356
@@ -0,0 +1,20 @@
+pipeline {
+    agent {
+        docker {
+            image 's444409-create-dataset'
+        }
+    }
+    
+    stages {
+        stage('Get dataset from artifact') {
+            steps {
+                copyArtifacts projectName: 's444356-training/master', selector: lastSuccessful()
+            }
+        }
+        stage('Predict values using model from artifact') {
+            steps {
+                sh "python predict_s444356.py"
+            }
+        }
+    }
+}
diff --git a/predict_s444356.py b/predict_s444356.py
new file mode 100644
index 0000000..6060158
--- /dev/null
+++ b/predict_s444356.py
@@ -0,0 +1,16 @@
+import json
+import mlflow
+import numpy as np
+import torch
+from torch.autograd import Variable
+
+logged_model = 'mlruns/1/d5b6f9c1784a4d2dbb8592cd4ad364d7/artifacts/model'
+loaded_model = mlflow.pyfunc.load_model(logged_model)
+
+
+with open(f'{logged_model}/input_example.json') as f:
+    data = json.load(f)
+    input_example = np.array(data['inputs'][0])
+    input_example = Variable(torch.from_numpy(input_example)).float()
+
+loaded_model.predict(input_example)