🤖 text-to-speech

Fun-CosyVoice3-0.5B-2512

FunAudioLLM/Fun-CosyVoice3-0.5B-2512

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Model Details
Full Model IDFunAudioLLM/Fun-CosyVoice3-0.5B-2512
Pipeline / Tasktext-to-speech
Library—
Downloads (all-time)255.3K
Likes672
Last Modified2/3/2026
Author / OrgFunAudioLLM
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="FunAudioLLM/Fun-CosyVoice3-0.5B-2512")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
onnxsafetensorstext-to-speechzhenfresjakoitrudearxiv:2505.17589arxiv:2412.10117arxiv:2407.05407license:apache-2.0region:us
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🚀 Use This Model

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
⬇ Downloads255.3K
❤️ Community Likes672
🛠️ Requirements
  • →Check docs for installation steps.
  • →Python 3.8+ recommended for Transformers.
  • →GPU (CUDA) speeds up inference significantly.
  • →Use model.half() for fp16 on limited VRAM.
👋 Need help with code?