Instructions to use kyutai/mimi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyutai/mimi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kyutai/mimi")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("kyutai/mimi") model = AutoModel.from_pretrained("kyutai/mimi") - Inference
- Notebooks
- Google Colab
- Kaggle
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# Model Card for Mimi
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Mimi codec is a state-of-the-art audio neural codec,
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## Model Details
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# Model Card for Mimi
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Mimi codec is a state-of-the-art audio neural codec, developed by [Kyutai](https://kyutai.org/), that combines semantic and acoustic information into audio tokens running at 12.5Hz and a bitrate of 1.1kbps.
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## Model Details
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