diff --git a/DQM/EcalMonitorClient/src/MLClient.cc b/DQM/EcalMonitorClient/src/MLClient.cc
index 7154f3859e773..6b55e7ce5bf1c 100644
--- a/DQM/EcalMonitorClient/src/MLClient.cc
+++ b/DQM/EcalMonitorClient/src/MLClient.cc
@@ -12,6 +12,8 @@
 
 #include "DQM/EcalCommon/interface/MESetNonObject.h"
 
+#include <string>
+
 using namespace cms::Ort;
 
 namespace ecaldqm {
@@ -164,14 +166,15 @@ namespace ecaldqm {
 
     Ort::AllocatorWithDefaultOptions allocator;
 
-    const char* inputName = session.GetInputName(0, allocator);
+    // Strings returned by session.GetInputNameAllocated are temporary, need to copy them before they are deallocated
+    std::string inputName{session.GetInputNameAllocated(0, allocator).get()};
 
     Ort::TypeInfo inputTypeInfo = session.GetInputTypeInfo(0);
     auto inputTensorInfo = inputTypeInfo.GetTensorTypeAndShapeInfo();
 
     std::vector<int64_t> inputDims = inputTensorInfo.GetShape();
 
-    const char* outputName = session.GetOutputName(0, allocator);
+    std::string outputName{session.GetOutputNameAllocated(0, allocator).get()};
 
     Ort::TypeInfo outputTypeInfo = session.GetOutputTypeInfo(0);
     auto outputTensorInfo = outputTypeInfo.GetTensorTypeAndShapeInfo();
@@ -181,8 +184,8 @@ namespace ecaldqm {
     size_t TensorSize = nEtaTowersPad * nPhiTowers;
     std::vector<float> ebRecoOccMap1dPad(TensorSize);  //To store the output reconstructed occupancy
 
-    std::vector<const char*> inputNames{inputName};
-    std::vector<const char*> outputNames{outputName};
+    std::vector<const char*> inputNames{inputName.c_str()};
+    std::vector<const char*> outputNames{outputName.c_str()};
     std::vector<Ort::Value> inputTensors;
     std::vector<Ort::Value> outputTensors;
 
diff --git a/PhysicsTools/ONNXRuntime/src/ONNXRuntime.cc b/PhysicsTools/ONNXRuntime/src/ONNXRuntime.cc
index 130e4544585b9..ab062c10e7353 100644
--- a/PhysicsTools/ONNXRuntime/src/ONNXRuntime.cc
+++ b/PhysicsTools/ONNXRuntime/src/ONNXRuntime.cc
@@ -39,16 +39,15 @@ namespace cms::Ort {
 
     for (size_t i = 0; i < num_input_nodes; i++) {
       // get input node names
-      std::string input_name(session_->GetInputName(i, allocator));
+      std::string input_name(session_->GetInputNameAllocated(i, allocator).get());
       input_node_strings_[i] = input_name;
       input_node_names_[i] = input_node_strings_[i].c_str();
 
       // get input shapes
       auto type_info = session_->GetInputTypeInfo(i);
       auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
-      size_t num_dims = tensor_info.GetDimensionsCount();
-      input_node_dims_[input_name].resize(num_dims);
-      tensor_info.GetDimensions(input_node_dims_[input_name].data(), num_dims);
+
+      input_node_dims_[input_name] = tensor_info.GetShape();
     }
 
     size_t num_output_nodes = session_->GetOutputCount();
@@ -58,16 +57,14 @@ namespace cms::Ort {
 
     for (size_t i = 0; i < num_output_nodes; i++) {
       // get output node names
-      std::string output_name(session_->GetOutputName(i, allocator));
+      std::string output_name(session_->GetOutputNameAllocated(i, allocator).get());
       output_node_strings_[i] = output_name;
       output_node_names_[i] = output_node_strings_[i].c_str();
 
       // get output node types
       auto type_info = session_->GetOutputTypeInfo(i);
       auto tensor_info = type_info.GetTensorTypeAndShapeInfo();
-      size_t num_dims = tensor_info.GetDimensionsCount();
-      output_node_dims_[output_name].resize(num_dims);
-      tensor_info.GetDimensions(output_node_dims_[output_name].data(), num_dims);
+      output_node_dims_[output_name] = tensor_info.GetShape();
 
       // the 0th dim depends on the batch size
       output_node_dims_[output_name].at(0) = -1;