Instructions to use leuconoe/litert-lm-unity-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use leuconoe/litert-lm-unity-quantized 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
Commit History
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Scope evaluation wording to this project's test set
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Correct overstated Korean accuracy claims (tiny i4) + add accuracy-claim scope note
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Point pure-ACFT models to consolidated litert-community/whisper-acft
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Add pointer to whisper-acft-ko (Korean ACFT short-window models)
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Add YAML metadata to model card (license/tags/base_model)
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Project-quantized LiteRT models: whisper tiny/base/medium/large-v3/turbo (i8/i4) + Qwen2.5 0.5B/1.5B wi4b64 litertlm
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initial commit
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