Instructions to use baoyunkai-amd/silu-and-mul-oob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use baoyunkai-amd/silu-and-mul-oob with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("baoyunkai-amd/silu-and-mul-oob") - Notebooks
- Google Colab
- Kaggle
This is the repository card of yunkai/silu-and-mul-oob 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("yunkai/silu-and-mul-oob")
silu_and_mul = kernel_module.silu_and_mul
silu_and_mul(...)
Available functions
silu_and_mul
Benchmarks
No benchmark available yet.
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