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
Local implementation (tested on macos m4)
#17
by Expressin - opened
For those who are interested, i've made a local implementation for this. Just follow the README and you are good to go. https://github.com/Lynxgsm/vibevoice-realtime-0.5b-local
What’s the difference from the official repository?