Leaked semaphore warning on shutdown when using WhisperModel

Hi, I'm using `faster-whisper` inside a container and noticing a warning on shutdown after running a transcription: ``` /usr/local/lib/python3.14/multiprocessing/resource_tracker.py:475: UserWarning: resource_tracker: There appear to be X leaked semaphore objects to clean up at shutdown ``` ### Minimal setup * Python: 3.14 * `faster-whisper:1.2.1` * Running inside a container * Simple usage: ```python from faster_whisper import WhisperModel model = WhisperModel("Systran/faster-whisper-base", device="auto", compute_type="auto") segments, info = model.transcribe(audio_bytes) ``` ## What I observed * The transcription works fine * The warning appears **only at process/container shutdown** * I tried explicitly cleaning up: * deleting the model (`del model`) * clearing internal references (`model.model = None`) * calling `gc.collect()` …but the warning still appears. ## Questions 1. Is this a known/common issue when using `faster-whisper` (or `ctranslate2`)? 2. Are there recommended ways to properly release resources or avoid this warning? 3. Is this something that needs to be handled at the library level, or is it expected/harmless?