doc: update README

README.md

@@ -56,11 +56,11 @@ This [companion repository](https://github.com/FrenchKrab/IS2023-powerset-diariz
 ## Usage
 
 ```python
-# 1. visit hf.co/pyannote/segmentation-3.0.0 and accept user conditions
+# 1. visit hf.co/pyannote/segmentation-3.0 and accept user conditions
 # 2. visit hf.co/settings/tokens to create an access token
 # 3. instantiate pretrained model
 from pyannote.audio import Model
-model = Model.from_pretrained("pyannote/segmentation-3.0.0", 
+model = Model.from_pretrained("pyannote/segmentation-3.0", 
                               use_auth_token="ACCESS_TOKEN_GOES_HERE")
 ```
 
@@ -68,7 +68,7 @@ model = Model.from_pretrained("pyannote/segmentation-3.0.0",
 
 This model cannot be used to perform speaker diarization of full recordings on its own (it only processes 10s chunks). 
 
-See [pyannote/speaker-diarization-3.0.0](https://hf.co/pyannote/speaker-diarization-3.0.0) pipeline that uses an additional speaker embedding model to perform full recording speaker diarization.
+See [pyannote/speaker-diarization-3.0](https://hf.co/pyannote/speaker-diarization-3.0) pipeline that uses an additional speaker embedding model to perform full recording speaker diarization.
 
 ### Voice activity detection
 
@@ -102,7 +102,7 @@ osd = pipeline("audio.wav")
 # `osd` is a pyannote.core.Annotation instance containing overlapped speech regions
 ```
 
-## Citation
+## Citations
 
 ```bibtex
 @inproceedings{Plaquet23,