update README for finetuning-asr
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@@ -70,7 +70,7 @@ For more information, demos, and examples, please visit our [Project Page](https
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- **📝 Rich Transcription (Who, When, What)**:
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The model jointly performs ASR, diarization, and timestamping, producing a structured output that indicates *who* said *what* and *when*.
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[📖 Documentation](docs/vibevoice-asr.md) | [🤗 Hugging Face](https://huggingface.co/microsoft/VibeVoice-ASR) | [🎮 Playground](https://aka.ms/vibevoice-asr)
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[📖 Documentation](docs/vibevoice-asr.md) | [🤗 Hugging Face](https://huggingface.co/microsoft/VibeVoice-ASR) | [🎮 Playground](https://aka.ms/vibevoice-asr) | [🛠️ Finetuning](finetuning-asr/README.md)
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<p align="center">
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@@ -7,6 +7,7 @@
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**Model:** [VibeVoice-ASR-7B](https://huggingface.co/microsoft/VibeVoice-ASR)<br>
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**Demo:** [VibeVoice-ASR-Demo](https://aka.ms/vibevoice-asr)<br>
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**Finetuning:** [finetune-guide](../finetuning-asr/README.md)
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## 🔥 Key Features
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@@ -78,6 +79,9 @@ python demo/vibevoice_asr_gradio_demo.py --model_path microsoft/VibeVoice-ASR --
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python demo/vibevoice_asr_inference_from_file.py --model_path microsoft/VibeVoice-ASR --audio_files [add a audio path here]
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```
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## Finetuning
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LoRA (Low-Rank Adaptation) fine-tuning is supported. See [Finetuning](../finetuning-asr/README.md) for detailed guide.
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## 📄 License
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