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[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained on the 100k unlabeled subset of [VoxPopuli corpus](https://arxiv.org/abs/2101.00390).
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**Paper**: *[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation
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Learning, Semi-Supervised Learning and Interpretation](https://arxiv.org/abs/2101.00390)*
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[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained on the 100k unlabeled subset of [VoxPopuli corpus](https://arxiv.org/abs/2101.00390).
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**Note**: This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model **speech recognition**, a tokenizer should be created and the model should be fine-tuned on labeled text data. Check out [this blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) for more in-detail explanation of how to fine-tune the model.
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**Paper**: *[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation
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Learning, Semi-Supervised Learning and Interpretation](https://arxiv.org/abs/2101.00390)*
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