For more control over the generation parameters, use the model + processor API directly: Ad hoc generation arguments can be passed to model.generate , including num beams for beam search, return timestamps for segment level timestamps, and prompt ids for prompting. See the docstrings for more details. Sequential Long Form Unlike previous Distil Whisper releases, distil large v3 is specifically designed to be compatible with OpenAI's sequential long form transcription algorithm. This algorithm uses a sliding window for buffered inference of long audio files ( 30 seconds), and returns more accurate transcriptions compared to the chunked long form algorithm. The sequential long form algorithm should be used in either of the following scenarios: 1. Transcription accuracy is the most important factor, and latency is less of a consideration 2. You are transcribing batches of long audio files, in which case the latency of sequential is comparable to chunked, while being up to 0.5% WER more accurate If you are transcribing single long audio files and latency is the most important factor, you should use the chunked algorithm described below. For a detailed explanation of the different algor…
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