Instructions to use replicate/flash-attn-ops with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/flash-attn-ops with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("replicate/flash-attn-ops") - Notebooks
- Google Colab
- Kaggle
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Download README.md from replicate/flash-attn-ops: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
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https://huggingface.co/replicate/flash-attn-ops/resolve/main/README.md
- Command line
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hf download hf://replicate/flash-attn-ops/README.md
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curl -L -o README.md https://huggingface.co/replicate/flash-attn-ops/resolve/main/README.md
1.07 kB
metadata
library_name: kernels
license: bsd-3-clause
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/flash-attn-ops that has been pushed on the Hub. It was built to be used with the kernels library. This card was automatically generated.
How to use
# make sure `kernels` is installed: `pip install -U kernels`
from kernels import get_kernel
kernel_module = get_kernel("kernels-community/flash-attn-ops")
cross_entropy_loss = kernel_module.cross_entropy_loss
cross_entropy_loss(...)
Available functions
cross_entropy_lossCrossEntropyLossapply_rotarylayer_norm_fnrms_norm_fnlayer_norm_linear_fnLayerNormFnRMSNorm
Benchmarks
No benchmark available yet.