Add missing info on available models

README.md

@@ -143,15 +143,15 @@ Below is a list of all the models currently supported by diart:
 
 | Model Name | Model Type   | CPU Time* | GPU Time* |
 |------------|--------------|-----------|-----------|
-| [`pyannote/segmentation`](pyannote/segmentation) | segmentation | 12ms | 8ms |
+| [`pyannote/segmentation`](pyannote/segmentation) (default) | segmentation | 12ms | 8ms |
 | [`pyannote/segmentation-3.0`](https://huggingface.co/pyannote/segmentation-3.0) | segmentation | 11ms | 8ms |
-| [`pyannote/embedding`](https://huggingface.co/pyannote/embedding) | embedding | 26ms | 12ms |
+| [`pyannote/embedding`](https://huggingface.co/pyannote/embedding) (default) | embedding | 26ms | 12ms |
 | [`hbredin/wespeaker-voxceleb-resnet34-LM`](https://huggingface.co/hbredin/wespeaker-voxceleb-resnet34-LM) | embedding | 41ms | 15ms |
+| [`speechbrain/spkrec-xvect-voxceleb`](https://huggingface.co/speechbrain/spkrec-xvect-voxceleb) | embedding | 41ms | 15ms |
+| [`speechbrain/spkrec-ecapa-voxceleb`](https://huggingface.co/speechbrain/spkrec-ecapa-voxceleb) | embedding | 41ms | 14ms |
+| [`speechbrain/spkrec-ecapa-voxceleb-mel-spec`](https://huggingface.co/speechbrain/spkrec-ecapa-voxceleb-mel-spec) | embedding | 42ms | 14ms |
+| [`speechbrain/spkrec-resnet-voxceleb`](https://huggingface.co/speechbrain/spkrec-resnet-voxceleb) | embedding | 41ms | 16ms |
 | [`nvidia/speakerverification_en_titanet_large`](https://huggingface.co/nvidia/speakerverification_en_titanet_large) | embedding | 91ms | 16ms |
-| [`speechbrain/spkrec-xvect-voxceleb`](https://huggingface.co/speechbrain/spkrec-xvect-voxceleb) | embedding | | |
-| [`speechbrain/spkrec-ecapa-voxceleb`](https://huggingface.co/speechbrain/spkrec-ecapa-voxceleb) | embedding | | |
-| [`speechbrain/spkrec-ecapa-voxceleb-mel-spec`](https://huggingface.co/speechbrain/spkrec-ecapa-voxceleb-mel-spec) | embedding | | |
-| [`speechbrain/spkrec-resnet-voxceleb`](https://huggingface.co/speechbrain/spkrec-resnet-voxceleb) | embedding | | |
 
 The latency of segmentation models is measured in a VAD pipeline (5s chunks).