Native routed LoRA weights from omnicommon400/checkpoint-200. The tensor file is copied unchanged from the requested checkpoint. Common400 are in-sample and must not be presented as held-out performance. It is separate from the paper's cubic S→R main-result checkpoints; the paper's 6.85% CER and 4.51 MOS are not asserted for this artifact. Use Python 3.12 with a compatible PyTorch installation. Install the upstream OmniVoice 0.1.5 inference package and Hugging Face client: Replace the text and reference inputs with your own. The reference transcript must match the supplied recording. Use --device cpu if CUDA is unavailable. Use --base-dir /path/to/OmniVoice to reuse a local base-model…
Independent publisher
Jonathan Lu
joa8115
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Published tasks: Text to speech.
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