Instructions to use mlboydaisuke/Mimi-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use mlboydaisuke/Mimi-LiteRT 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
Link the card back to its collection and the request box
Browse files
README.md
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@@ -59,3 +59,11 @@ Push the files to the app's `filesDir` with `mimi/scripts/install_to_device.sh`.
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This conversion uses model-op rewrites + a GPU/CPU placement split, so it is hosted in a personal
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namespace (not a patch-free "clean" sample). License follows upstream Mimi (CC-BY-4.0).
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This conversion uses model-op rewrites + a GPU/CPU placement split, so it is hosted in a personal
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namespace (not a patch-free "clean" sample). License follows upstream Mimi (CC-BY-4.0).
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<!-- funnel:v1 -->
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---
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**Want a different model on-device?** [Open a request](https://github.com/john-rocky/on-device-requests) — free, open weights only; the export and its measured numbers get published publicly.
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<!-- /funnel:v1 -->
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