Instructions to use litert-community/Mimi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/Mimi with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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@@ -17,6 +17,8 @@ convolutional halves run on the `CompiledModel` **GPU** delegate (`LITERT_CL`);
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Transformers and the split RVQ run on **CPU**. Device-verified on a Pixel 8a (Tensor G3): full
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round-trip at **RTF ≈ 0.35** (faster than real-time), reconstruction at the codec's quality floor.
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## Files
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Transformers and the split RVQ run on **CPU**. Device-verified on a Pixel 8a (Tensor G3): full
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round-trip at **RTF ≈ 0.35** (faster than real-time), reconstruction at the codec's quality floor.
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## Files
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| File | Size | Delegate | In → Out |
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