Wav2vec2 pre-pretrained from scratch using common voice dhivehi dataset. The model was trained with Flax during the
Flax/Jax Community Week organised by HuggingFace.
The model used for training is
Wav2Vec2 by FacebookAI. It was introduced in the paper
"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" by Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli (
https://arxiv.org/abs/2006.11477).
This model is available in the 🤗
Model Hub.
The dataset is also available in the 🤗
Datasets library.
