Spaces:
Running
Running
Kernel Community -> Kernels Community for consistency with the hf namespace
Browse files
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
title:
|
| 3 |
emoji: 🔥
|
| 4 |
colorFrom: gray
|
| 5 |
colorTo: green
|
|
@@ -7,7 +7,7 @@ sdk: static
|
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
-
#
|
| 11 |
The Kernel Hub allows Python libraries and applications to **load optimized compute kernels directly from the Hugging Face Hub**. Think of it like the Model Hub, but for low-level, high-performance code snippets (kernels) that accelerate specific operations, often on GPUs.
|
| 12 |
|
| 13 |
Instead of manually managing complex dependencies, wrestling with compilation flags, or building libraries like Triton or CUTLASS from source, you can use the `kernels` library to instantly fetch and run pre-compiled, optimized kernels.
|
|
|
|
| 1 |
---
|
| 2 |
+
title: Kernels Community
|
| 3 |
emoji: 🔥
|
| 4 |
colorFrom: gray
|
| 5 |
colorTo: green
|
|
|
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
+
# Kernels Community
|
| 11 |
The Kernel Hub allows Python libraries and applications to **load optimized compute kernels directly from the Hugging Face Hub**. Think of it like the Model Hub, but for low-level, high-performance code snippets (kernels) that accelerate specific operations, often on GPUs.
|
| 12 |
|
| 13 |
Instead of manually managing complex dependencies, wrestling with compilation flags, or building libraries like Triton or CUTLASS from source, you can use the `kernels` library to instantly fetch and run pre-compiled, optimized kernels.
|