
# Wav2Vec2 Dhivehi

Wav2vec2 pre-pretrained from scratch using common voice dhivehi dataset. The model was trained with Flax during the [Flax/Jax Community Week](https://discss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) organised by HuggingFace.

## Model description

The model used for training is [Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) 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](https://huggingface.co/facebook/wav2vec2-base-960h).

## Training data

Dhivehi data from [Common Voice](https://commonvoice.mozilla.org/en/datasets).

The dataset is also available in the 🤗 [Datasets](https://huggingface.co/datasets/common_voice) library.

## Team members

- Shahu Kareem ([@shahukareem](https://huggingface.co/shahukareem))
- Eyna ([@eyna](https://huggingface.co/eyna))

{"language": "dv", "tags": ["automatic-speech-recognition"], "datasets": ["common_voice"]}
transformers pytorch jax tensorboard wav2vec2 pretraining automatic-speech-recognition dv dataset:common_voice arxiv:2006.11477 endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #tensorboard #wav2vec2 #pretraining #automatic-speech-recognition #dv #dataset-common_voice #arxiv-2006.11477 #endpoints_compatible #region-us 


# Wav2Vec2 Dhivehi

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.

## Model description

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 (URL

This model is available in the  Model Hub.

## Training data

Dhivehi data from Common Voice.

The dataset is also available in the  Datasets library.

## Team members

- Shahu Kareem (@shahukareem)
- Eyna (@eyna)

# Wav2Vec2 Dhivehi

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. ## Model description

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 (URL

This model is available in the  Model Hub. ## Training data

Dhivehi data from Common Voice.

The dataset is also available in the  Datasets library. ## Team members

- Shahu Kareem (@shahukareem)
- Eyna (@eyna)
TAGS
#transformers #pytorch #jax #tensorboard #wav2vec2 #pretraining #automatic-speech-recognition #dv #dataset-common_voice #arxiv-2006.11477 #endpoints_compatible #region-us 
 # Wav2Vec2 Dhivehi

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. ## Model description

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 (URL

This model is available in the  Model Hub. ## Training data

Dhivehi data from Common Voice.

The dataset is also available in the  Datasets library. ## Team members

- Shahu Kareem (@shahukareem)
- Eyna (@eyna)
TAGS
#transformers #pytorch #jax #tensorboard #wav2vec2 #pretraining #automatic-speech-recognition #dv #dataset-common_voice #arxiv-2006.11477 #endpoints_compatible #region-us 
# Wav2Vec2 Dhivehi

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.## Model description

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 (URL

This model is available in the  Model Hub.## Training data

Dhivehi data from Common Voice.

The dataset is also available in the  Datasets library.## Team members

- Shahu Kareem (@shahukareem)
- Eyna (@eyna)