Model Details
Full Model IDmicrosoft/VibeVoice-Realtime-0.5B
Pipeline / Tasktext-to-speech
Librarytransformers
Downloads (all-time)299.0K
Likes1.3K
Last Modified12/12/2025
Author / Orgmicrosoft
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-speech", model="microsoft/VibeVoice-Realtime-0.5B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsvibevoice_streamingRealtime TTSStreaming text inputLong-form speech generationtext-to-speechenarxiv:2508.19205arxiv:2412.08635base_model:Qwen/Qwen2.5-0.5Bbase_model:finetune:Qwen/Qwen2.5-0.5Blicense:mitendpoints_compatibleregion:us
More text-to-speech Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: text-to-speech
This model is designed for the text-to-speech task. Explore more models for this use case.
All text-to-speech Models →📊 Popularity
⬇ Downloads299.0K
❤️ Community Likes1.3K
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.