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README.md
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1. Performance: CED with 10M parameters outperforms the majority of previous approaches (~80M).
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### Model Sources
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- **Repository:** https://github.com/jimbozhang/hf_transformers_custom_model_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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1. Performance: CED with 10M parameters outperforms the majority of previous approaches (~80M).
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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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