Updated README

README.md

@@ -19,7 +19,6 @@ voc2vec is a foundation model specifically designed for non-verbal human data.
 
 We employed a collection of 10 datasets covering around 125 hours of non-verbal audio and pre-trained a [Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)-like model.
 
-
 ## Model description
 
 Voc2vec is built upon the wav2vec 2.0 framework and follows its pre-training setup. 
@@ -29,6 +28,14 @@ The pre-training datasets include: AudioSet (vocalization), FreeSound (babies),
 
 We evaluate voc2vec on six datasets: ASVP-ESD, ASPV-ESD (babies), CNVVE, NonVerbal Vocalization Dataset, Donate a Cry, VIVAE.
 
+## Available Models
+
+| Model | Description | Link |
+|--------|-------------|------|
+| **voc2vec** | Pre-trained model on **125 hours of non-verbal audio**. | [🔗 Model](https://huggingface.co/alkiskoudounas/voc2vec) |
+| **voc2vec-as-pt** | Continues pre-training from a model that was **initially trained on the AudioSet dataset**. | [🔗 Model](https://huggingface.co/alkiskoudounas/voc2vec-as-pt) |
+| **voc2vec-ls-pt** | Continues pre-training from a model that was **initially trained on the LibriSpeech dataset**. | [🔗 Model](https://huggingface.co/alkiskoudounas/voc2vec-ls-pt) |
+
 ## Usage examples
 
 You can use the model directly in the following manner: