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@@ -24,9 +24,9 @@ Note: Results have been obtained using [test scripts](https://github.com/kamilak
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  diarizers-community comes with:
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- - [diarizers](https://github.com/kamilakesbi/diarizers/tree/main)a library for fine-tuning pyannote speaker diarization models using the Hugging Face ecosystem. It can be used to improve performance on both English and multilingual diarization datasets with simple example scripts, with as little as ten hours of labelled diarization data and just 5 minutes of GPU compute time.
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- - A google colab [notebook](https://colab.research.google.com/github/kamilakesbi/notebooks/blob/main/fine_tune_pyannote.ipynb), whith a step-by-step guide on how to use diarizers for fine-tunning pyannote segmentation model.
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  Edit this `README.md` markdown file to author your organization card.
 
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  diarizers-community comes with:
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+ - [diarizers](https://github.com/kamilakesbi/diarizers/tree/main)a library for fine-tuning pyannote speaker diarization models using the Hugging Face ecosystem.
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+ - A google colab [notebook](https://colab.research.google.com/github/kamilakesbi/notebooks/blob/main/fine_tune_pyannote.ipynb), whith a step-by-step guide on how to use diarizers.
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  Edit this `README.md` markdown file to author your organization card.