Instructions to use kernels-staging/flash-attn3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-staging/flash-attn3 with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-staging/flash-attn3") - Notebooks
- Google Colab
- Kaggle
Uploaded using `kernel-builder`.
Browse files
README.md
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---
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library_name: kernels
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license: bsd-3-clause
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---
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This is the repository card of kernels-community/flash-attn3 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.
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## How to use
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```python
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# make sure `kernels` is installed: `pip install -U kernels`
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from kernels import get_kernel
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kernel_module = get_kernel("kernels-community/flash-attn3", version=1)
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flash_attn_combine = kernel_module.flash_attn_combine
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flash_attn_combine(...)
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```
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## Available functions
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- `flash_attn_combine`
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- `flash_attn_func`
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- `flash_attn_qkvpacked_func`
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- `flash_attn_varlen_func`
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- `flash_attn_with_kvcache`
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- `get_scheduler_metadata`
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## Benchmarks
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Benchmarking script is available for this kernel. Run `kernels benchmark kernels-community/flash-attn3 --version 1`.
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