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@@ -32,10 +32,10 @@ It achieves the following results on the evaluation set:
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  ```python
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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- config = AutoConfig.from_pretrained("abhishtagatya/hubert-base-960h-itw-deepfake")
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- feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("abhishtagatya/hubert-base-960h-itw-deepfake")
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- model = WavLMForSequenceClassification.from_pretrained("abhishtagatya/hubert-base-960h-itw-deepfake", config=config).to(device)
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  # Your Logic Here
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  ```
 
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  ```python
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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+ config = AutoConfig.from_pretrained("abhishtagatya/wavlm-base-960h-itw-deepfake")
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+ feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("abhishtagatya/wavlm-base-960h-itw-deepfake")
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+ model = WavLMForSequenceClassification.from_pretrained("abhishtagatya/wavlm-base-960h-itw-deepfake", config=config).to(device)
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  # Your Logic Here
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  ```