Text-to-Speech
Transformers
Safetensors
PyTorch
Vietnamese
English
qwen3
text-generation
tts
vietnamese
bilingual
zero-shot-cloning
code-switching
high-fidelity
text-generation-inference
Instructions to use vmo247/VieNeu-TTS-v2-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vmo247/VieNeu-TTS-v2-Turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="vmo247/VieNeu-TTS-v2-Turbo")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("vmo247/VieNeu-TTS-v2-Turbo") model = AutoModelForCausalLM.from_pretrained("vmo247/VieNeu-TTS-v2-Turbo") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!