diff --git a/lib/onnxruntime/inference_session.rb b/lib/onnxruntime/inference_session.rb
index 2e2ca87..814038c 100644
--- a/lib/onnxruntime/inference_session.rb
+++ b/lib/onnxruntime/inference_session.rb
@@ -264,7 +264,9 @@ def create_input_tensor(input_feed)
         inp = @inputs.find { |i| i[:name] == input_name.to_s }
         raise Error, "Unknown input: #{input_name}" unless inp
 
-        if inp[:type] == "tensor(string)"
+        if input.is_a?(OrtValue)
+          input
+        elsif inp[:type] == "tensor(string)"
           OrtValue.ortvalue_from_array(input, element_type: :string)
         elsif (tensor_type = tensor_types[inp[:type]])
           OrtValue.ortvalue_from_array(input, element_type: tensor_type)
diff --git a/test/inference_session_test.rb b/test/inference_session_test.rb
index 045fa68..77d2bf9 100644
--- a/test/inference_session_test.rb
+++ b/test/inference_session_test.rb
@@ -22,6 +22,13 @@ def test_run_with_ort_values_invalid_type
     assert_equal "Unexpected input data type. Actual: (tensor(double)) , expected: (tensor(float))", error.message
   end
 
+  def test_run_ort_value_input
+    sess = OnnxRuntime::InferenceSession.new("test/support/lightgbm.onnx")
+    x = OnnxRuntime::OrtValue.ortvalue_from_numo(Numo::SFloat.cast([[5.8, 2.8]]))
+    output = sess.run(nil, {input: x})
+    assert_equal [1], output[0]
+  end
+
   def test_providers
     sess = OnnxRuntime::InferenceSession.new("test/support/model.onnx")
     assert_includes sess.providers, "CPUExecutionProvider"