Instructions to use frankdu/SD-Turbo-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use frankdu/SD-Turbo-LiteRT 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 __pycache__/java_noise.cpython-312.pyc from frankdu/SD-Turbo-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 1.72 kB
-
https://huggingface.co/frankdu/SD-Turbo-LiteRT/resolve/main/__pycache__/java_noise.cpython-312.pyc
- Command line
-
hf download hf://frankdu/SD-Turbo-LiteRT/__pycache__/java_noise.cpython-312.pyc
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curl -L -o java_noise.cpython-312.pyc https://huggingface.co/frankdu/SD-Turbo-LiteRT/resolve/main/__pycache__/java_noise.cpython-312.pyc
1.72 kB
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