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
Uploaded using `kernel-builder`.
Browse files
README.md
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---
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library_name: kernels
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license: mit
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---
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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.
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## How to use
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```python
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# make sure `kernels` is installed: `pip install -U kernels`
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from kernels import get_kernel
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kernel_module = get_kernel("kernels-community/aiter-kernels")
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__kernel_metadata__ = kernel_module.__kernel_metadata__
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__kernel_metadata__(...)
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```
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## Available functions
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- `__kernel_metadata__`
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- `RotateStyle`
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- `apply_rotary_transformers`
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- `activation`
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- `causal_conv1d`
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- `causal_conv1d_update_single_token`
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- `comms`
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- `fusions`
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- `gated_delta_net`
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- `gather_kv_b_proj`
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- `gemm`
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- `gluon`
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- `gmm`
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- `kv_cache`
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- `moe`
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- `normalization`
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- `quant`
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- `rope`
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- `softmax`
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- `topk`
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- `utils`
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## Benchmarks
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No benchmark available yet.
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