Whisper is a general-purpose speech recognition model.
This model costs approximately $0.00098 to run on Replicate, or 1020 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 1 seconds.
Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model.
It was trained on 1 million hours of weakly labeled audio and 4 million hours of pseudolabeled audio collected using Whisper large-v2.
See the full model card here
