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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Results
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The model achieves satisfactory performance on short-sentence benchmarks,
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### Zero-shot TTS performance on LibriSpeech test-clean set
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## Results
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The model achieves satisfactory performance on short-sentence benchmarks, while the model is more focused on long‑form speech generation.
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### Zero-shot TTS performance on LibriSpeech test-clean set
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