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README.md

@@ -1,23 +1,32 @@
 ---
+library_name: kernels
 license: apache-2.0
-tags:
-  - kernels
 ---
 
-![Status](https://hubwebhook.dholtz.com/shield?repo=kernels-community/paged-attention)
+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.
 
-## attention
+## How to use
 
-Paged attention kernels from [vLLM](https://github.com/vllm-project/) and [mistral.rs](https://github.com/EricLBuehler/mistral.rs).
+```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
 
-### Performance
+convert_fp8(...)
+```
 
-<img class="dark:hidden border border-gray-200 dark:border-gray-700 rounded-lg" src="media/benches_light_animation.svg" />
-<img class="hidden dark:block border border-gray-200 dark:border-gray-700 rounded-lg" src="media/benches_dark_animation.svg" />
+## Available functions
+- `convert_fp8`
+- `copy_blocks`
+- `ops`
+- `paged_attention_v1`
+- `paged_attention_v2`
+- `reshape_and_cache`
+- `reshape_and_cache_flash`
+- `swap_blocks`
 
-<img class="dark:hidden border border-gray-200 dark:border-gray-700 rounded-lg" src="media/benches_light_latency.svg" />
-<img class="hidden dark:block border border-gray-200 dark:border-gray-700 rounded-lg" src="media/benches_dark_latency.svg" />
+## Benchmarks
 
-<img class="dark:hidden border border-gray-200 dark:border-gray-700 rounded-lg" src="media/benches_light_throughput.svg" />
-<img class="hidden dark:block border border-gray-200 dark:border-gray-700 rounded-lg" src="media/benches_dark_throughput.svg" />
+Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/paged-attention`.