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
File size: 206 Bytes
2c17b79 | 1 2 3 4 5 6 7 8 9 10 | {
"feature_extractor_type": "DacFeatureExtractor",
"feature_size": 1,
"hop_length": 960,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 24000
}
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