Add deprecation message

.github/workflows/windows.yml

@@ -311,10 +311,9 @@ jobs:
           python -m pip install . --verbose --find-links ${env:OV_INSTALL_DIR}/wheels
           python -m pip install ./tools/who_what_benchmark --find-links ${env:OV_INSTALL_DIR}/wheels
           
-          # will install transformers 4.46.3 version
           # transformers 4.46.3 will enable return_timestamps tests
           # this check enabled for windows only. Ticket: 160205.
-          python -m pip install git+https://github.com/huggingface/optimum-intel.git@753f84db6e0966580eb9eaa74a808213be730631
+          python -m pip install transformers==4.46.3
           
           python -m pytest -v ./tests/python_tests/test_whisper_pipeline.py -k "not test_smoke"
 

src/cpp/src/logger.hpp

@@ -0,0 +1,17 @@
+// Copyright (C) 2025 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+
+#pragma once
+#include <iostream>
+#include <string>
+
+namespace ov::genai {
+
+class Logger {
+public:
+    static void warn(std::string message) {
+        std::cout << "[WARN] " << message << '\n';
+    };
+};
+
+}  // namespace ov::genai

src/cpp/src/whisper/models/with_past_decoder.cpp

@@ -5,6 +5,7 @@
 
 #include <regex>
 
+#include "logger.hpp"
 #include "utils.hpp"
 
 namespace {
@@ -40,6 +41,10 @@ namespace ov::genai {
 WhisperWithPastDecoder::WhisperWithPastDecoder(const std::filesystem::path& models_path,
                                                const std::string& device,
                                                const ov::AnyMap& properties) {
+    Logger::warn("Whisper decoder models with past is deprecated. Support will be removed in 2026.0.0 release.\n"
+                 "To obtain stateful decoder model use latest `optimum-intel` package:\n"
+                 "pip install optimum-intel@git+https://github.com/huggingface/optimum-intel.git\n"
+                 "optimum-cli export openvino --trust-remote-code --model openai/whisper-tiny whisper-tiny");
     ov::Core core = utils::singleton_core();
 
     auto compiled_model = core.compile_model(models_path / "openvino_decoder_model.xml", device, properties);