Instructions to use cahlen/ramanujan-machine-cuda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use cahlen/ramanujan-machine-cuda with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("cahlen/ramanujan-machine-cuda", version=1) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add torch library bindings (guard main, add torch wrapper functions)
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Add torch bindings + build variant torch211-cxx11-cu130-x86_64-linux
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Add build variant torch211-cxx11-cu130-x86_64-linux for kernels compatibility
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CUDA kernel: ramanujan-machine-cuda
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initial commit
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