Merge branch 'main' of hf.co:CoRal-dataset/roest-wav2vec2-315m-v2 into main

README.md

@@ -37,6 +37,8 @@ This repository contains a Wav2Vec2 model trained on the [CoRal-v2 dataset](http
 The CoRal-v2 dataset includes a rich variety of Danish conversational and read-aloud data, distributed across diverse age groups, genders, and dialects. 
 The model is designed for automatic speech recognition (ASR).
 
+Try it out in [our interactive demo](https://huggingface.co/spaces/alexandrainst/roest-demo)!
+
 
 ## Quick Start
 
@@ -342,7 +344,7 @@ It’s important to note that the CoRal-v2 conversation dataset, being tentative
 --- 
 
 ## Creators and Funders
-This model has been trained and the model card written by Marie Juhl Jørgensen and Søren Vejlgaard Holm at [Alvenir](https://www.alvenir.ai/).
+This model has been trained and the model card written by [Marie Juhl Jørgensen](https://huggingface.co/MarieAlvenir) and [Søren Vejlgaard Holm](https://huggingface.co/sorenmulli) at [Alvenir](https://www.alvenir.ai/).
 
 The CoRal project is funded by the [Danish Innovation Fund](https://innovationsfonden.dk/) and consists of the following partners:
 
@@ -352,7 +354,7 @@ The CoRal project is funded by the [Danish Innovation Fund](https://innovationsf
 - [Alvenir](https://www.alvenir.ai/)
 - [Corti](https://www.corti.ai/)
 
-We would like specifically to thank Dan Saattrup Nielsen, Alexandra Institute for (among other things) the repository work and Simon Leminen Madsen, Alexandra Institute for modelling work.
+We would like specifically to thank [Dan Saattrup Nielsen](https://huggingface.co/saattrupdan), [Alexandra Institute](https://alexandra.dk/) for (among other things) the repository work and [Simon Leminen Madsen](https://huggingface.co/Leminen), [Alexandra Institute](https://alexandra.dk/) for modelling work.
 
 
 ## Citation