Delete wav2vec2-pretrained-demo3/handler.py
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wav2vec2-pretrained-demo3/handler.py
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from transformers import AutoModelForAudioClassification
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class CustomAudioClassifier(AutoModelForAudioClassification):
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def __init__(self, config):
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super().__init__(config)
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# Add custom initialization logic if needed
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def forward(self, input_values, **kwargs):
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# Customize the forward pass of the model
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outputs = super().forward(input_values, **kwargs)
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# Add custom logic here, e.g., post-processing of outputs
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return outputs
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# Example usage:
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# Initialize your custom audio classifier
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custom_classifier = CustomAudioClassifier.from_pretrained('./model.safetensors')
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# Use the custom classifier for inference or fine-tuning
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