Text-to-Speech
Transformers
Safetensors
English
vibevoice_streaming
Realtime TTS
Streaming text input
Long-form speech generation
Instructions to use Sumit23/VibeVoice-Realtime-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sumit23/VibeVoice-Realtime-0.5B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sumit23/VibeVoice-Realtime-0.5B")# Load model directly from transformers import VibeVoiceStreamingForConditionalGenerationInference model = VibeVoiceStreamingForConditionalGenerationInference.from_pretrained("Sumit23/VibeVoice-Realtime-0.5B", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d3d905d5c81e104bae6e0ef6044a9001e725940e2b42ea50a2c4ae0173e16406
- Size of remote file:
- 124 kB
- SHA256:
- 0386a7f577a66324c2b07cf3dff573bc805ce8687c8d6f8b5f3d6d04aed51250
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