Instructions to use replicate/trimul-gpumode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/trimul-gpumode with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("replicate/trimul-gpumode") - Notebooks
- Google Colab
- Kaggle
File size: 1,062 Bytes
6fcde31 23a0c62 6fcde31 e1de5d5 6fcde31 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ---
library_name: kernels
license: apache-2.0
---
> [!CAUTION]
> 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/trimul-gpumode 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
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel
kernel_module = get_kernel("kernels-community/trimul-gpumode")
kernel_a100 = kernel_module.kernel_a100
kernel_a100(...)
```
## Available functions
- `kernel_a100`
- `kernel_h100`
- `kernel_b200`
- `kernel_mi300`
- `kernel_global`
## Benchmarks
Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/trimul-gpumode`.
|