Instructions to use kernels-community/activation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/activation with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/activation") - Notebooks
- Google Colab
- Kaggle
Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new.
This is the repository card of kernels-community/activation 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
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel
kernel_module = get_kernel("kernels-community/activation")
silu_and_mul = kernel_module.silu_and_mul
silu_and_mul(...)
Available functions
silu_and_mulmul_and_silugelu_and_mulgelu_tanh_and_mulfatrelu_and_mulgelu_fastgelu_newgelu_quickgelu_tanhsilugelu
Benchmarks
Benchmarking script is available for this kernel. Run kernels benchmark kernels-community/activation.
- Downloads last month
- 19,166
Inference Providers NEW
This model isn't deployed by any Inference Provider. π 1 Ask for provider support