If you need a near-instant local setup, just fetch files via a basic curl request.
Make sure you implement the steps mentioned below.
The installer auto-downloads and deploys the entire model pack.
The deployment tool scans your environment and chooses the ideal parameters.
The VibeVoice-ASR-HF leverages a transformer-based architecture optimized for low‑latency speech recognition in edge environments. It supports over 100 languages and dialects, delivering real-time transcription with an average word error rate below 5 %. The model achieves sub‑200 ms inference time on standard CPUs, making it suitable for live captioning and voice‑controlled applications. Integrated with popular frameworks through a lightweight API, developers can deploy the model without extensive hardware resources. A comparison of key metrics is provided below.
| Parameter | Value |
|---|---|
| Model size | ≈ 150 M parameters |
| Supported languages | 100+ languages & dialects |
| Average latency | <200 ms on CPU |
| Word error rate | <5 % |
| API compatibility | REST & gRPC |
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- Setup tool updating local CUDA toolkit dependencies for nvcc compilation
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- Setup utility enabling modern multi-head attention acceleration keys for host machines
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