Transcribe and parse audio files with OpenAI Whisper model.
Audio transcription with OpenAI Whisper model locally from transformers.
device - device to use NOTE: By default uses the gpu if available, if you want to use cpu, please set device = "cpu" lang_model - whisper model to use, for example "openai/whisper-medium" forced_decoder_ids - id states for decoder in multilanguage model, usage example: from transformers import WhisperProcessor processor = WhisperProcessor.from_pretrained("openai/whisper-medium") forced_decoder_ids = WhisperProcessor.get_decoder_prompt_ids(language="french", task="transcribe") forced_decoder_ids = WhisperProcessor.get_decoder_prompt_ids(language="french", task="translate")
id states for decoder in a multilanguage model. Defaults to None.
batch size used for decoding Defaults to 8.
chunk length used during inference. Defaults to 30s.
