Model Details
Full Model IDpnnbao-ump/VieNeu-TTS-v3-Turbo
Pipeline / Tasktext-to-speech
Library—
Downloads (all-time)1.4M
Likes87
Last Modified9/23/2026
Author / Orgpnnbao-ump
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="pnnbao-ump/VieNeu-TTS-v3-Turbo")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
onnxsafetensorsggufvieneu_v3_turbovoice-cloningcode-switchingpodcastemotion-control48khztext-to-speechviendataset:pnnbao-ump/VieNeu-TTS-10k-ENVIlicense:apache-2.0region:us
More text-to-speech Models
See all →🚀 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
⬇ Downloads1.4M
❤️ Community Likes87
🛠️ 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.