
# Wav2Vec2 Spanish

Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset. The model is trained with Flax and using TPUs sponsored by Google since this is part of 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

Spanish portion of [Common Voice](https://commonvoice.mozilla.org/en/datasets). Common Voice is an open source, multi-language dataset of voices part of Mozilla's initiative to help teach machines how real people speak.

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

## Team members

- María Grandury ([@mariagrandury](https://github.com/mariagrandury))
- Manuel Romero ([@mrm8488](https://huggingface.co/mrm8488))
- Eduardo González Ponferrada ([@edugp](https://huggingface.co/edugp))
- pcuenq ([@pcuenq](https://huggingface.co/pcuenq))
{"language": "es", "tags": ["audio", "automatic-speech-recognition"], "datasets": ["common_voice"]}
transformers pytorch jax wav2vec2 pretraining audio automatic-speech-recognition es dataset:common_voice arxiv:2006.11477 endpoints_compatible region:us
TAGS
#transformers #pytorch #jax #wav2vec2 #pretraining #audio #automatic-speech-recognition #es #dataset-common_voice #arxiv-2006.11477 #endpoints_compatible #region-us 


# Wav2Vec2 Spanish

Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset. The model is trained with Flax and using TPUs sponsored by Google since this is part of 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

Spanish portion of Common Voice. Common Voice is an open source, multi-language dataset of voices part of Mozilla's initiative to help teach machines how real people speak.

The dataset is also available in the  Datasets library.

## Team members

- María Grandury (@mariagrandury)
- Manuel Romero (@mrm8488)
- Eduardo González Ponferrada (@edugp)
- pcuenq (@pcuenq)
# Wav2Vec2 Spanish

Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset. The model is trained with Flax and using TPUs sponsored by Google since this is part of 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

Spanish portion of Common Voice. Common Voice is an open source, multi-language dataset of voices part of Mozilla's initiative to help teach machines how real people speak.

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

- María Grandury (@mariagrandury)
- Manuel Romero (@mrm8488)
- Eduardo González Ponferrada (@edugp)
- pcuenq (@pcuenq)
TAGS
#transformers #pytorch #jax #wav2vec2 #pretraining #audio #automatic-speech-recognition #es #dataset-common_voice #arxiv-2006.11477 #endpoints_compatible #region-us 
 # Wav2Vec2 Spanish

Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset. The model is trained with Flax and using TPUs sponsored by Google since this is part of 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

Spanish portion of Common Voice. Common Voice is an open source, multi-language dataset of voices part of Mozilla's initiative to help teach machines how real people speak.

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

- María Grandury (@mariagrandury)
- Manuel Romero (@mrm8488)
- Eduardo González Ponferrada (@edugp)
- pcuenq (@pcuenq)
passage: TAGS
#transformers #pytorch #jax #wav2vec2 #pretraining #audio #automatic-speech-recognition #es #dataset-common_voice #arxiv-2006.11477 #endpoints_compatible #region-us 
# Wav2Vec2 Spanish

Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset. The model is trained with Flax and using TPUs sponsored by Google since this is part of 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

Spanish portion of Common Voice. Common Voice is an open source, multi-language dataset of voices part of Mozilla's initiative to help teach machines how real people speak.

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

- María Grandury (@mariagrandury)
- Manuel Romero (@mrm8488)
- Eduardo González Ponferrada (@edugp)
- pcuenq (@pcuenq)