Instructions to use replicate/paged-attention with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/paged-attention with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("replicate/paged-attention", version=1) - Notebooks
- Google Colab
- Kaggle
File size: 1,134 Bytes
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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/paged-attention 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/paged-attention")
convert_fp8 = kernel_module.convert_fp8
convert_fp8(...)
```
## Available functions
- `convert_fp8`
- `copy_blocks`
- `ops`
- `paged_attention_v1`
- `paged_attention_v2`
- `reshape_and_cache`
- `reshape_and_cache_flash`
- `swap_blocks`
## Benchmarks
Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/paged-attention`.
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