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
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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] |