Instructions to use aoiandroid/mirror-drbaph-OmniVoice-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aoiandroid/mirror-drbaph-OmniVoice-bf16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="aoiandroid/mirror-drbaph-OmniVoice-bf16")# Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("aoiandroid/mirror-drbaph-OmniVoice-bf16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baf1018c9586c5abb1abc56de2cabb1287e95da535e662e1279552d8085e8596
- Size of remote file:
- 1.23 GB
- SHA256:
- 0cedc73dab7646d35d20fb22f07ccb039554ade8d627e8303e46740cfa73ed68
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