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  ---
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- # Wav2Vec2-Large-XLSR-53-Italian
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- Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Italian using the [Common Voice](https://huggingface.co/datasets/common_voice).
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  When using this model, make sure that your speech input is sampled at 16kHz.
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  This model has been fine-tuned thanks to the GPU credits generously given by the [OVHcloud](https://www.ovhcloud.com/en/public-cloud/ai-training/) :)
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  If you want to cite this model you can use this:
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  ```bibtex
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- @misc{grosman2021wav2vec2-large-xlsr-53-italian,
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- title={XLSR Wav2Vec2 Italian by Jonatas Grosman},
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  author={Grosman, Jonatas},
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- publisher={Hugging Face},
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- journal={Hugging Face Hub},
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  howpublished={\url{https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-italian}},
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  year={2021}
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  }
 
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+ # Fine-tuned XLSR-53 large model for speech recognition in Italian
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+ Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Italian using the [Common Voice 6.1](https://huggingface.co/datasets/common_voice).
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  When using this model, make sure that your speech input is sampled at 16kHz.
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  This model has been fine-tuned thanks to the GPU credits generously given by the [OVHcloud](https://www.ovhcloud.com/en/public-cloud/ai-training/) :)
 
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  If you want to cite this model you can use this:
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  ```bibtex
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+ @misc{grosman2021xlsr53-large-italian,
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+ title={Fine-tuned {XLSR}-53 large model for speech recognition in {I}talian},
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  author={Grosman, Jonatas},
 
 
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  howpublished={\url{https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-italian}},
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  year={2021}
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  }