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")# Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("ModelsLab/omnivoice-singing", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 821a4e279e972ee3f328f6ce63e2fd738651317f61cbf8918f8342b38ac66502
- Size of remote file:
- 806 MB
- SHA256:
- fe7c5e8785e0a05833e1bfc3e002ec7f55af21e306b2e7154a448c1f54ccfb0d
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