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---
language: es
tags:
- audio
- automatic-speech-recognition
datasets:
- common_voice
---
# Wav2Vec2 Spanish
Spanish Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset during the [Flax x Hugging Face](https://discss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) community event.
Team:
[@mariagrandury](https://github.com/mariagrandury),
[@mrm8488](https://github.com/mrm8488),
[@edugp](https://github.com/edugp) and
[@pcuenq](https://github.com/pcuenq).
## 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 (https://arxiv.org/abs/2006.11477).
This model is available in the 🤗 [Model Hub](https://huggingface.co/facebook/wav2vec2-base-960h).
## Intended uses & limitations
### How to use
### Limitations and bias
## 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.
### Training procedure
### Eval results
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