Update README.md

README.md

@@ -9,7 +9,7 @@ pinned: false
 
 [diarizers-community](https://huggingface.co/diarizers-community) aims to promote speaker diarization on the Hugging Face hub. It contains: 
 
-- A collection of [multilingual speaker diarization datasets](https://huggingface.co/collections/diarizers-community/speaker-diarization-datasets-66261b8d571552066e003788) that are compatible with the [diarizers](https://github.com/kamilakesbi/diarizers) library. They have been processed using [diarizers scripts](https://github.com/kamilakesbi/diarizers/blob/main/datasets/README.md).
+- A collection of [multilingual speaker diarization datasets](https://huggingface.co/collections/diarizers-community/speaker-diarization-datasets-66261b8d571552066e003788) that are compatible with the [diarizers](https://github.com/huggingface/diarizers) library. They have been processed using [diarizers scripts](https://github.com/huggingface/diarizers/blob/main/datasets/README.md).
 
 The available datasets are the CallHome (Japanese, Chinese, German, Spanish, English), AMI Corpus (English), Vox-Converse (English) and Simsamu (French). We aim to add more datasets in the future to better support speaker diarising on the Hub.
 
@@ -19,7 +19,7 @@ Each model has been fine-tuned on a specific Callhome language subset. They achi
 
 Together with diarizers-community, we release: 
 
-- [diarizers](https://github.com/kamilakesbi/diarizers/tree/main), a library for fine-tuning pyannote speaker diarization models using the Hugging Face ecosystem.
+- [diarizers](https://github.com/huggingface/diarizers/tree/main), a library for fine-tuning pyannote speaker diarization models using the Hugging Face ecosystem.
 
 - A google colab [notebook](https://colab.research.google.com/github/kamilakesbi/notebooks/blob/main/fine_tune_pyannote.ipynb), with a step-by-step guide on how to use diarizers. 
 
@@ -39,7 +39,7 @@ Together with diarizers-community, we release:
 |          Chinese        | [Pretrained](https://huggingface.co/pyannote/segmentation-3.0)               | 19.73         | **4.81**      | 9.82            | 5.11          |   
 |                         | [Fine-tuned](https://huggingface.co/diarizers-community/speaker-segmentation-fine-tuned-callhome-zho)    | **15.95**     | 5.04          | **7.24**        | **3.68**      |
 
-Results are in %. They have been obtained using the [test script](https://github.com/kamilakesbi/diarizers/blob/main/test_segmentation.py) from diarizers. 
+Results are in %. They have been obtained using the [test script](https://github.com/huggingface/diarizers/blob/main/test_segmentation.py) from diarizers.