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Accelerated transcription, word-level timestamps and diarization with whisperX large-v3 for large audio files. Fork of victor-upmeet/whisperx-a40-large with diarization fixed and group_segments implemented
This model costs approximately $0.084 to run on Replicate, or 11 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 A40 GPU hardware. Predictions typically complete within 146 seconds. The predict time for this model varies significantly based on the inputs.
This model doesn't have a readme.