Text-to-Speech
Transformers
Safetensors
English
vibevoice_streaming
Realtime TTS
Streaming text input
Long-form speech generation
Instructions to use microsoft/VibeVoice-Realtime-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-Realtime-0.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="microsoft/VibeVoice-Realtime-0.5B")# Load model directly from transformers import VibeVoiceStreamingForConditionalGenerationInference model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained("microsoft/VibeVoice-Realtime-0.5B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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| VibeVoice-Realtime-0.5B | 8k | ~10 min | You are here. |
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| VibeVoice-1.5B | 64K | ~90 min | [HF link](https://huggingface.co/microsoft/VibeVoice-1.5B) |
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| VibeVoice-Large| 32K | ~45 min | [HF link](https://huggingface.co/
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## Results
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| VibeVoice-Realtime-0.5B | 8k | ~10 min | You are here. |
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| VibeVoice-1.5B | 64K | ~90 min | [HF link](https://huggingface.co/microsoft/VibeVoice-1.5B) |
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| VibeVoice-Large| 32K | ~45 min | [HF link](https://huggingface.co/aoi-ot/VibeVoice-Large) |
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## Results
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