Instructions to use mispeech/ced-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mispeech/ced-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mispeech/ced-small", trust_remote_code=True)# Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("mispeech/ced-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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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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### Model Sources
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- **Original Repository:** https://github.com/RicherMans/CED
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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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