Update README.md

README.md

@@ -17,11 +17,18 @@ The currently available datasets are the CallHome (Japanese, Chinese, German, Sp
 
 - A collection of [5 fine-tuned segmentation model](https://huggingface.co/collections/diarizers-community/models-66261d0f9277b825c807ff2a) baselines that can be used in a pyannote speaker diarization pipeline.
 
-- Each model has been fine-tuned on a specific language of the Callhome dataset. In comparison to the pretrained [pyannote segmentation model](https://huggingface.co/pyannote/segmentation-3.0), they reach better performance on each of the Callhome test sets:
+- Each model has been fine-tuned on a specific language of the Callhome dataset. Compared to the pre-trained pyannote [segmentation model](https://huggingface.co/pyannote/segmentation-3.0), they obtain better performances on each language: 
+
 
 ** ADD BENCHMARK ** 
 
+Note: Results have been obtained using the `test_segmentation.py` script from diarizers. 
+
+Together with this organisation, we release: 
+
+- The diarizers library, to fine-tune pyannote segmentation models and use them back in a pyannote speaker diarization pipeline.
 
+- 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. 
 
 
 Edit this `README.md` markdown file to author your organization card.