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在生成视频的时候报错,使用的是本地模型。faster_whisper用的是 tiny device 是 auto
File "/opt/MoneyPrinterPlus/services/captioning/captioning_service.py", line 68, in generate_caption
result_list = fasterwhisper_service.process(get_session_option("audio_output_file"),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/MoneyPrinterPlus/services/audio/faster_whisper_recognition_service.py", line 51, in process
model = WhisperModel(convert_module_to_path(self.model_name), device=self.device_type, compute_type=self.compute_type,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/MoneyPrinterPlus/venv/lib/python3.11/site-packages/faster_whisper/transcribe.py", line 145, in __init__
self.model = ctranslate2.models.Whisper(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Unsupported model binary version. This executable supports models with binary version v6 or below, but the model has binary version v1936876918. This usually means that the model was generated by a later version of CTranslate2. (Forward compatibility is not guaranteed.)
在生成视频的时候报错,使用的是本地模型。faster_whisper用的是 tiny device 是 auto