Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation, trained on 680k hours of labeled data without fine-tuning. It's a Transformer based encoder-decoder model, trained on English-only or multilingual data, predicting transcriptions in the same or different language as the audio. Whisper checkpoints come in five configurations of varying model sizes.
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation, trained on 680k hours of labeled data without fine-tuning. It's a Transformer based encoder-decoder model, trained on English-only or multilingual data, predicting transcriptions in the same or different language as the audio. Whisper checkpoints come in five configurations of varying model sizes.
condition_on_previous_text
booleanprovide the previous output of the model as a prompt for the next window
Default value: true
temperature_increment_on_fallback
numbertemperature to increase when falling back when the decoding fails to meet either of the thresholds below
Default value: 0.2
webhook
fileThe webhook to call when inference is done, by default you will get the output in the response of your inference request