Uploaded using `kernel-builder`.

README.md

@@ -1,15 +1,26 @@
 ---
-tags:
-- kernels
-- cuda
+library_name: kernels
 ---
-### Performance
 
-<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" />
+This is the repository card of kernels-community/yoso 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.
 
-<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" />
+## How to use
 
-<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" />
+```python
+# make sure `kernels` is installed: `pip install -U kernels`
+from kernels import get_kernel
+
+kernel_module = get_kernel("kernels-community/yoso")
+fast_hash = kernel_module.fast_hash
+
+fast_hash(...)
+```
+
+## Available functions
+- `fast_hash`
+- `lsh_cumulation`
+- `lsh_weighted_cumulation`
+
+## Benchmarks
+
+Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/yoso`.