diff --git a/src/cmake/123 b/src/cmake/123
new file mode 100644
index 00000000000000..e69de29bb2d1d6
diff --git a/src/common/transformations/src/transformations/mlir/op/gather.cpp b/src/common/transformations/src/transformations/mlir/op/gather.cpp
index 229f24380e5ef2..c4e93044928cde 100644
--- a/src/common/transformations/src/transformations/mlir/op/gather.cpp
+++ b/src/common/transformations/src/transformations/mlir/op/gather.cpp
@@ -61,13 +61,15 @@ struct ConvertGather {
         auto empty_add = builder.create<tensor::EmptyOp>(loc, indices_expanded.getType(), dynamic_index_dims);
         auto add = builder.create<linalg::AddOp>(loc, mlir::ValueRange{cast.getResult(), indices_expanded}, mlir::ValueRange{empty_add});
         auto select = builder.create<linalg::SelectOp>(loc, mlir::ValueRange{cmpi.getResult(), add.getResult(0), indices_expanded}, mlir::ValueRange{empty_add});
+        auto index_type = RankedTensorType::get(ArrayRef(importShape(ov_output_shape)), builder.getIndexType());
+        auto cast2 = builder.create<arith::IndexCastOp>(loc, index_type, mlir::ValueRange{select.getResult(0)});
 
         auto gather_node = std::dynamic_pointer_cast<ov::op::util::GatherBase>(node);
         assert(gather_node && "Expected a gather node");
         int64_t axis = gather_node->get_axis();
 
         llvm::SmallVector<int64_t> gather_dims{axis};
-        auto gather = builder.create<tensor::GatherOp>(loc, out_type, input, select.getResult(0), gather_dims, false);
+        auto gather = builder.create<tensor::GatherOp>(loc, out_type, input, cast2, gather_dims, false);
         context.addOutputs(node, gather);
     }
 };
diff --git a/src/common/transformations/src/transformations/mlir/op/transpose.cpp b/src/common/transformations/src/transformations/mlir/op/transpose.cpp
index aa08258e131b4b..f0c4aa3d340f78 100644
--- a/src/common/transformations/src/transformations/mlir/op/transpose.cpp
+++ b/src/common/transformations/src/transformations/mlir/op/transpose.cpp
@@ -27,10 +27,11 @@ struct ConvertTranspose {
         const auto ov_output_shape = node->get_output_partial_shape(0);
         auto out_type = importTensor(context.context, ov_output_shape, ov_output_element_type);
         auto dynamic_dimensions = context.get_dynamic_dimension_values(ov_output_shape);
+        const auto ov_order_element_type = node->get_input_element_type(1);
 
         auto const_order = dynamic_cast<ov::op::v0::Constant*>(node->get_input_node_ptr(1));
         assert(const_order && "non-const order not supported");
-        ov::Coordinate coords = const_order->get_coordinate_val();
+        std::vector<int64_t> coords = const_order->cast_vector<int64_t>();
         SmallVector<int64_t> order(coords.begin(), coords.end());
 
         auto empty = builder.create<tensor::EmptyOp>(loc, out_type, dynamic_dimensions);