Text-to-Speech
LiteRT
LiteRT
ONNX
Core ML
PyTorch
tts
coreai
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
Download pytorch/vector_estimator.pt from spybyscript/scyllasband: direct link, hf CLI and curl.
- Browser
- Download file 267 MB
-
https://huggingface.co/spybyscript/scyllasband/resolve/main/pytorch/vector_estimator.pt
- Command line
-
hf download hf://spybyscript/scyllasband/pytorch/vector_estimator.pt
-
curl -L -o vector_estimator.pt https://huggingface.co/spybyscript/scyllasband/resolve/main/pytorch/vector_estimator.pt
267 MB
- Xet hash:
- 5cfcf4f81aeb3a2f78da5126164ff5fb93584a70951df50f40addb489855746d
- Size of remote file:
- 267 MB
- SHA256:
- 556caf9f64a97329679ca99b3e6b59e1ecfb8ae312ad2321d10e7ba1e979b1da
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Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.