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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.
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