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  value: 12.58
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  ---
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- # Wav2Vec2-Large-XLSR-53-German
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  Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on German 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.
@@ -156,11 +156,9 @@ python eval.py --model_id jonatasgrosman/wav2vec2-large-xlsr-53-german --dataset
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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-german,
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- title={XLSR Wav2Vec2 German 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-german}},
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  year={2021}
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  }
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  ---
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+ # Fine-tuned XLSR-53 large model for speech recognition in German
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  Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on German 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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  If you want to cite this model you can use this:
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  ```bibtex
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+ @misc{grosman2021xlsr53-large-german,
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+ title={Fine-tuned {XLSR}-53 large model for speech recognition in {G}erman},
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  author={Grosman, Jonatas},
 
 
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  howpublished={\url{https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-german}},
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  year={2021}
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  }