On-premise ASR with Diarization

My goal is to apply the best model(s) to conduct on-premise ASR with speaker diarization. I am relatively new to ML and AI, and have had some success in applying huggingface models via pipeline in on-premise setups. I am currently using Anaconda, Spyder IDE, and Jupyter as needed. I can’t seem to get a grasp of asr with diarization. Can someone point me in the direction of a good tutorial with examples that can help advance my goal? Thank you in advance.

Hey @DecodedFuture

There is some information in this model card, which may be helpful to you :slight_smile:

BTW, we have a model tag for speaker-diarization.