diff --git a/bindings/cs/rl.net.native/rl.net.factory_context.cc b/bindings/cs/rl.net.native/rl.net.factory_context.cc
index 021b87f47..6694947ca 100644
--- a/bindings/cs/rl.net.native/rl.net.factory_context.cc
+++ b/bindings/cs/rl.net.native/rl.net.factory_context.cc
@@ -31,11 +31,14 @@ API factory_context_t* CreateFactoryContextWithStaticModel(const char* vw_model,
   using namespace reinforcement_learning::model_management;
   auto context = CreateFactoryContext();
 
-  auto data_transport_factory_fn = [vw_model, len](std::unique_ptr<model_management::i_data_transport>& retval, const utility::configuration& configuration, i_trace* trace_logger, api_status* status) -> int {
-      char* vw_model_copy = new char[len];
-      std::memcpy(vw_model_copy, vw_model, len);
-      retval.reset(new rl_net_native::binding_static_model(vw_model_copy, len));
-      return error_code::success;
+  auto data_transport_factory_fn = [vw_model, len](std::unique_ptr<model_management::i_data_transport>& retval,
+                                       const utility::configuration& configuration, i_trace* trace_logger,
+                                       api_status* status) -> int
+  {
+    char* vw_model_copy = new char[len];
+    std::memcpy(vw_model_copy, vw_model, len);
+    retval.reset(new rl_net_native::binding_static_model(vw_model_copy, len));
+    return error_code::success;
   };
 
   data_transport_factory_t* data_transport_factory =
diff --git a/rlclientlib/model_mgmt/model_mgmt.cc b/rlclientlib/model_mgmt/model_mgmt.cc
index a02128d89..44bcc4bfb 100644
--- a/rlclientlib/model_mgmt/model_mgmt.cc
+++ b/rlclientlib/model_mgmt/model_mgmt.cc
@@ -27,10 +27,7 @@ void model_data::free() { _data.clear(); }
 
 int model_data::set_data(const char* vw_model, size_t len)
 {
-  if (vw_model == nullptr || len == 0)
-  {
-    return reinforcement_learning::error_code::static_model_load_error;
-  }
+  if (vw_model == nullptr || len == 0) { return reinforcement_learning::error_code::static_model_load_error; }
 
   char* buffer = this->alloc(len);
   if (buffer == nullptr) { return reinforcement_learning::error_code::static_model_load_error; }