Text-to-Speech
Transformers
Safetensors
omnivoice
tts
singing
emotion
expressive-tts
multilingual
voice-cloning
Instructions to use ModelsLab/omnivoice-singing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelsLab/omnivoice-singing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ModelsLab/omnivoice-singing")# pip install -U transformers accelerate # Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("ModelsLab/omnivoice-singing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ModelsLab/omnivoice-singing: direct link, hf CLI and curl.
- Browser
- Download file 2.45 GB
-
https://huggingface.co/ModelsLab/omnivoice-singing/resolve/main/model.safetensors
- Command line
-
hf download hf://ModelsLab/omnivoice-singing/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ModelsLab/omnivoice-singing/resolve/main/model.safetensors
2.45 GB
- Xet hash:
- 19009e9f8d2a73e9fb4ade0c26b9fda4719306c28a87e1d00b60a98e9ead7048
- Size of remote file:
- 2.45 GB
- SHA256:
- 1141123172e28971fc97a59f0dfbb5356574c2730b141e2486ee01da089f98b6
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