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6.1M
Downloads
❤️
3.9K
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4
Tags
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coqui
Library
Model Details
Full Model IDcoqui/XTTS-v2
Pipeline / Tasktext-to-speech
Librarycoqui
Downloads (all-time)6.1M
Likes3.9K
Last Modified12/11/2023
Author / Orgcoqui
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="coqui/XTTS-v2")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
coquitext-to-speechlicense:otherregion: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
⬇ Downloads6.1M
❤️ Community Likes3.9K
🛠️ Requirements
  • →Install: pip install coqui
  • →Python 3.8+ recommended for Transformers.
  • →GPU (CUDA) speeds up inference significantly.
  • →Use model.half() for fp16 on limited VRAM.
👋 Need help with code?