Instructions to use kernels-community/relu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/relu with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/relu") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: kernels
license: apache-2.0
This is the repository card of {repo_id} that has been pushed on the Hub. It was built to be used with the kernels library. This card was automatically generated.
How to use
# TODO: add an example code snippet for running this kernel
Available functions
[TODO: add the functions available through this kernel]
Supported backends
- cpu
- cuda
- metal
- rocm
- xpu
Benchmarks
Benchmarking script is available for this kernel. Make sure to run kernels benchmark org-id/repo-id (replace "org-id" and "repo-id" with actual values).
[TODO: provide benchmarks if available]
Source code
[TODO: provide original source code and other relevant citations if available]
Notes
[TODO: provide additional notes about this kernel if needed]