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  # Wav2Vec2-Large-Robust - Finetuned on Librispeech (960 hours)
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  [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
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  The base model pretrained on 16kHz sampled speech audio.
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  # Wav2Vec2-Large-Robust - Finetuned on Librispeech (960 hours)
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+ ## Note : Model has not been initialized. If you want to use it without further finetuning, do a forward pass first to recalculate the normalized weights of the positional convolutional layer :
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+ ```ipython
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+ with torch.no_grad():
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+ model_hf(torch.randn((1,300_000)))
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+ ```
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  [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
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  The base model pretrained on 16kHz sampled speech audio.