Text-to-Speech
Transformers
ONNX
Safetensors
multimodal
audio
video
conversational
full-duplex
function-calling
gander
Instructions to use Gander-Omni/Gander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gander-Omni/Gander with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gander-Omni/Gander")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gander-Omni/Gander", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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rapid visual changes, or long temporal dependencies. Applications should validate consequential
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## Resources
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| GitHub | Coming soon |
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| Paper | Coming soon |
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| Demo | Coming soon |
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| Dataset | Coming soon |
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## License
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Gander-Unit8 is released under the Apache License 2.0 and is derived from
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rapid visual changes, or long temporal dependencies. Applications should validate consequential
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## License
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Gander-Unit8 is released under the Apache License 2.0 and is derived from
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