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
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## VibeVoice: A Frontier Open-Source Text-to-Speech Model
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- Streaming text input
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- Long-from speech generation
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library_name: transformers
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base_model:
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- Qwen/Qwen2.5-0.5B
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## VibeVoice: A Frontier Open-Source Text-to-Speech Model
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