Text-to-Speech
Transformers
Safetensors
English
multilingual
omnivoice
tts
voice-cloning
zero-shot
audio
speech
Instructions to use niobures/Sonus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use niobures/Sonus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="niobures/Sonus")# pip install -U transformers accelerate # Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("niobures/Sonus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from niobures/Sonus: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/niobures/Sonus/resolve/main/tokenizer.json
- Command line
-
hf download hf://niobures/Sonus/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/niobures/Sonus/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- aa86290742428fec86da78b1221df25912de538ec58d2ff61dee8136cb700ce5
- Size of remote file:
- 11.4 MB
- SHA256:
- 408f669b7e2b045fdf54201d815bd364e6667dbd845115da81239c40bc6dcfd1
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