diff --git a/src/Microsoft.ML.Core/Data/ITransformModel.cs b/src/Microsoft.ML.Core/Data/ITransformModel.cs
index ccc73265ec..b5a20c8dfe 100644
--- a/src/Microsoft.ML.Core/Data/ITransformModel.cs
+++ b/src/Microsoft.ML.Core/Data/ITransformModel.cs
@@ -54,5 +54,10 @@ public interface ITransformModel
         /// <returns>The transform model as an <see cref="IRowToRowMapper"/>. If not all transforms
         /// in the pipeline are <see cref="IRowToRowMapper"/> then it returns null.</returns>
         IRowToRowMapper AsRowToRowMapper(IExceptionContext ectx);
+
+        /// <summary>
+        /// Get the loader information from the model.
+        /// </summary>
+        IDataView GetLoader();
     }
 }
diff --git a/src/Microsoft.ML.Data/EntryPoints/ScoreModel.cs b/src/Microsoft.ML.Data/EntryPoints/ScoreModel.cs
index de0a8208b0..4446b9e773 100644
--- a/src/Microsoft.ML.Data/EntryPoints/ScoreModel.cs
+++ b/src/Microsoft.ML.Data/EntryPoints/ScoreModel.cs
@@ -128,8 +128,9 @@ public static Output MakeScoringTransform(IHostEnvironment env, ModelInput input
 
             IPredictor predictor;
             RoleMappedData data;
-            var emptyData = new EmptyDataView(host, input.PredictorModel.TransformModel.InputSchema);
-            input.PredictorModel.PrepareData(host, emptyData, out data, out predictor);
+            var loader = input.PredictorModel.TransformModel.GetLoader();
+            var dataview = loader ?? new EmptyDataView(host, input.PredictorModel.TransformModel.InputSchema);
+            input.PredictorModel.PrepareData(host, dataview, out data, out predictor);
 
             IDataView scoredPipe;
             using (var ch = host.Start("Creating scoring pipeline"))
@@ -147,7 +148,7 @@ public static Output MakeScoringTransform(IHostEnvironment env, ModelInput input
             return new Output
             {
                 ScoredData = scoredPipe,
-                ScoringTransform = new TransformModel(host, scoredPipe, emptyData)
+                ScoringTransform = new TransformModel(host, scoredPipe, dataview)
             };
         }
     }
diff --git a/src/Microsoft.ML.Data/EntryPoints/TransformModel.cs b/src/Microsoft.ML.Data/EntryPoints/TransformModel.cs
index 9edc87df6d..e99ca0251f 100644
--- a/src/Microsoft.ML.Data/EntryPoints/TransformModel.cs
+++ b/src/Microsoft.ML.Data/EntryPoints/TransformModel.cs
@@ -57,7 +57,7 @@ public TransformModel(IHostEnvironment env, IDataView result, IDataView input)
             env.CheckValue(result, nameof(result));
             env.CheckValue(input, nameof(input));
 
-            var root = new EmptyDataView(env, input.Schema);
+            var root = input is IDataLoader ? input : new EmptyDataView(env, input.Schema);
             _schemaRoot = root.Schema;
             _chain = ApplyTransformUtils.ApplyAllTransformsToData(env, result, root, input);
         }
@@ -171,7 +171,7 @@ public void Save(IHostEnvironment env, Stream stream)
                 using (var rep = RepositoryWriter.CreateNew(stream, ch))
                 {
                     ch.Trace("Saving root schema and transformations");
-                    TrainUtils.SaveDataPipe(env, rep, _chain, blankLoader: true);
+                    TrainUtils.SaveDataPipe(env, rep, _chain, blankLoader: false);
                     rep.Commit();
                 }
                 ch.Done();
@@ -186,6 +186,20 @@ public IRowToRowMapper AsRowToRowMapper(IExceptionContext ectx)
                     : null;
         }
 
+        public IDataView GetLoader()
+        {
+            // Find the root schema.
+            for (IDataView view = _chain; ;)
+            {
+                var xf = view as IDataTransform;
+                if (xf == null)
+                {
+                    return view;
+                }
+                view = xf.Source;
+            }
+        }
+
         private sealed class CompositeRowToRowMapper : IRowToRowMapper
         {
             private readonly IDataView _chain;