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
| library_name: kernels | |
| license: apache-2.0 | |
| <!-- This model card has automatically been generated. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| 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](https://github.com/huggingface/kernels). This card was automatically generated. | |
| ## How to use | |
| ```python | |
| # 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] |