I am using pyannotate for speaker diarization on top of Whisper. However, even though I have provided the token credential, the code consistently gets stuck at the pipeline() call. This eventually leads to the Colab session disconnecting. The video in question is relatively short, only 11:46 minutes…

I wonder if the Pyannotate settings are wrong… [image] Issue with Using pyannote/speaker-diarization Gated Model in Colab and API Beginners Hi everyone, I’m currently working on my engineering thesis, which involves analyzing speaker diarization for Polish audio files. I’…

I am still stuck at this point. Even though I have been granted model permission, it’s not running and keeps on getting stuck at pipeline(“download1.wav”). I have accepted the user conditions as well. I need urgent help

Thanks for the reply @John6666 . But the issue remains the same, Even though I have followed all the steps mentioned on the shared post.

I thought it was possible that your GPU wasn’t being used. How about this? # https://github.com/pyannote/pyannote-audio from pyannote.audio import Pipeline import torch hf_token = "hf_xxxxxxxxxxxxxxxxxxx" device = "cuda" if torch.cuda.is_available() else "cpu" wav_file="download1.wav" #Load the p…

The pyannote doesn’t ever starts with 0 is there any reason ?

It looks like your pipeline() call is hanging. Here are a few things to check: Check Token: Make sure your Hugging Face token is valid and has the right permissions. Audio File: Double-check that the audio file path (download1.wav) is correct and accessible. Try with a smaller file to see if that …

Pyannotate pipeline() not working

Intermediate

John6666 January 6, 2025, 6:02pm 2

I wonder if the Pyannotate settings are wrong…

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Pyannotate pipeline() not working

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