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README.md
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You can try the model directly here:
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👉 https://huggingface.co/spaces/hynt/k2-automatic-speech-recognition-demo
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## 💬 Summary
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The **ZipFormer-30M-RNNT-6000h** model demonstrates that a lightweight architecture can still achieve state-of-the-art accuracy for Vietnamese ASR.
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It is designed for **fast deployment on CPU-based systems**, making it ideal for **real-time speech recognition**, **callbots**, and **embedded speech interfaces**.
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You can try the model directly here:
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👉 https://huggingface.co/spaces/hynt/k2-automatic-speech-recognition-demo
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## ⚙️ How to Run This Model
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Please refer to the following guide for instructions on how to run and deploy this model:
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👉 [https://k2-fsa.github.io/sherpa/onnx/](https://k2-fsa.github.io/sherpa/onnx/)
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## 💬 Summary
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The **ZipFormer-30M-RNNT-6000h** model demonstrates that a lightweight architecture can still achieve state-of-the-art accuracy for Vietnamese ASR.
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It is designed for **fast deployment on CPU-based systems**, making it ideal for **real-time speech recognition**, **callbots**, and **embedded speech interfaces**.
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