Instructions to use kernels-community/aiter-kernels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/aiter-kernels with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/aiter-kernels") - Notebooks
- Google Colab
- Kaggle
| library_name: kernels | |
| license: mit | |
| This is the repository card of kernels-community/aiter-kernels 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/aiter-kernels") | |
| __kernel_metadata__ = kernel_module.__kernel_metadata__ | |
| __kernel_metadata__(...) | |
| ``` | |
| ## Available functions | |
| - `__kernel_metadata__` | |
| - `RotateStyle` | |
| - `apply_rotary_transformers` | |
| - `activation` | |
| - `causal_conv1d` | |
| - `causal_conv1d_update_single_token` | |
| - `comms` | |
| - `fusions` | |
| - `gated_delta_net` | |
| - `gather_kv_b_proj` | |
| - `gemm` | |
| - `gluon` | |
| - `gmm` | |
| - `kv_cache` | |
| - `moe` | |
| - `normalization` | |
| - `quant` | |
| - `rope` | |
| - `softmax` | |
| - `topk` | |
| - `utils` | |
| ## Benchmarks | |
| No benchmark available yet. | |