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@@ -25,7 +25,7 @@ for the french language that was fine-tuned on the
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  The model is a CTC-based model on top of
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  [wav2vec2](https://huggingface.co/LeBenchmark/wav2vec2-FR-7K-large) embeddings,
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  trained on data from the [CommonVoice](https://commonvoice.mozilla.org),
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- [PxCorpus](https://zenodo.org/records/6482587) and Simsmu datasets. The CTC
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  layers were trained from scratch and the wav2vec2 layers were fine-tuned.
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  The model can be used in [medkit](https://github.com/medkit-lib/medkit/) the
 
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  The model is a CTC-based model on top of
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  [wav2vec2](https://huggingface.co/LeBenchmark/wav2vec2-FR-7K-large) embeddings,
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  trained on data from the [CommonVoice](https://commonvoice.mozilla.org),
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+ [PxCorpus](https://zenodo.org/records/6482587) and Simsamu datasets. The CTC
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  layers were trained from scratch and the wav2vec2 layers were fine-tuned.
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  The model can be used in [medkit](https://github.com/medkit-lib/medkit/) the