Text-to-Speech
ONNX
Piper
KittenTTS
English
tts
kokoro
melotts
vits
vits2
styletts2
sherpa-onnx
on-device
threadcast
Instructions to use Pixel-Labs/threadcast-neural-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use Pixel-Labs/threadcast-neural-models with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- KittenTTS
How to use Pixel-Labs/threadcast-neural-models with KittenTTS:
from kittentts import KittenTTS m = KittenTTS("Pixel-Labs/threadcast-neural-models") audio = m.generate("This high quality TTS model works without a GPU") # Save the audio import soundfile as sf sf.write('output.wav', audio, 24000) - Notebooks
- Google Colab
- Kaggle
Ctrl+K