Instructions to use SuperexponentialAI/relu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SuperexponentialAI/relu 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("SuperexponentialAI/relu", version=1) - Notebooks
- Google Colab
- Kaggle
Optimized relu: cpu/cuda/xpu, 1.2-1.85x faster on RTX 4090, benchmarked vs upstream and torch.relu
e873e70 verified Download .gitattributes from SuperexponentialAI/relu: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
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https://huggingface.co/SuperexponentialAI/relu/resolve/main/.gitattributes
- Command line
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hf download hf://SuperexponentialAI/relu/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/SuperexponentialAI/relu/resolve/main/.gitattributes
129 Bytes
| *.abi3.so filter=lfs diff=lfs merge=lfs -text | |
| *.pyd filter=lfs diff=lfs merge=lfs -text | |
| *.so filter=lfs diff=lfs merge=lfs -text | |