Text-to-Speech
LiteRT
LiteRT
ONNX
Core ML
PyTorch
tts
singing
singing-voice-synthesis
multilingual
expressive-tts
duration-flow
Instructions to use spybyscript/scyllasband with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/scyllasband with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Scylla's Band v4-20261106: speech and singing from one model (a delivery mode on the flow, a BigVGAN singing decoder); LiteRT, ONNX, WebGPU, Core ML, Core AI and PyTorch
b0fe862 verified Download webgpu/onnx/components/vector_context_encoder.onnx from spybyscript/scyllasband: direct link, hf CLI and curl.
- Browser
- Download file 39.7 kB
-
https://huggingface.co/spybyscript/scyllasband/resolve/main/webgpu/onnx/components/vector_context_encoder.onnx
- Command line
-
hf download hf://spybyscript/scyllasband/webgpu/onnx/components/vector_context_encoder.onnx
-
curl -L -o vector_context_encoder.onnx https://huggingface.co/spybyscript/scyllasband/resolve/main/webgpu/onnx/components/vector_context_encoder.onnx
39.7 kB
- Xet hash:
- 96fe861f7089280584179af4c97a5b6fe6f8c0db1eb4d6ba85510a1ae2f7a8ed
- Size of remote file:
- 39.7 kB
- SHA256:
- f207bc6cfc43a7d4ced589c462e4e05668ae700d14665bfb4814291226ea40ca
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