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Update README.md

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@@ -21,7 +21,7 @@ Augmentation and knowledge distillation (KD) are well-established techniques emp
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  ### Model Sources
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- - **Repository:** https://github.com/RicherMans/CED
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  - **Paper:** [CED: Consistent ensemble distillation for audio tagging](https://arxiv.org/abs/2308.11957)
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  - **Demo:** https://huggingface.co/spaces/mispeech/ced-base
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@@ -36,9 +36,9 @@ pip install -r requirements.txt
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  >>> from ced_model.feature_extraction_ced import CedFeatureExtractor
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  >>> from ced_model.modeling_ced import CedForAudioClassification
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- >>> model_path = "mispeech/ced-tiny"
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- >>> feature_extractor = CedFeatureExtractor.from_pretrained(model_path)
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- >>> model = CedForAudioClassification.from_pretrained(model_path)
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  >>> import torchaudio
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  >>> audio, sampling_rate = torchaudio.load("resources/JeD5V5aaaoI_931_932.wav")
 
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  ### Model Sources
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+ - **Original Repository:** https://github.com/RicherMans/CED
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  - **Paper:** [CED: Consistent ensemble distillation for audio tagging](https://arxiv.org/abs/2308.11957)
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  - **Demo:** https://huggingface.co/spaces/mispeech/ced-base
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  >>> from ced_model.feature_extraction_ced import CedFeatureExtractor
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  >>> from ced_model.modeling_ced import CedForAudioClassification
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+ >>> model_id = "mispeech/ced-tiny"
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+ >>> feature_extractor = CedFeatureExtractor.from_pretrained(model_id)
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+ >>> model = CedForAudioClassification.from_pretrained(model_id)
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  >>> import torchaudio
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  >>> audio, sampling_rate = torchaudio.load("resources/JeD5V5aaaoI_931_932.wav")