Model Details
Full Model IDmicrosoft/VibeVoice-1.5B
Pipeline / Tasktext-to-speech
Librarytransformers
Downloads (all-time)401.3K
Likes2.5K
Last Modified1/22/2026
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-1.5B")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsvibevoicetext-to-audioPodcasttext-to-speechenzharxiv:2508.19205arxiv:2412.08635license: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
⬇ Downloads401.3K
❤️ Community Likes2.5K
🛠️ 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.