Instructions to use galqiwi/hadamard_transform_kernels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use galqiwi/hadamard_transform_kernels with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("galqiwi/hadamard_transform_kernels") - Notebooks
- Google Colab
- Kaggle
README: drop backward-op note
Browse files
README.md
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@@ -13,8 +13,7 @@ Forward Hadamard transform CUDA kernel, packaged for the
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[`kernels`](https://huggingface.co/docs/kernels/index) library.
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`fp32` / `fp16` / `bf16`, last dim from `1` up to `32768` (zero-padded to the
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next power of two internally).
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the same kernel a second time.
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## Use
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[`kernels`](https://huggingface.co/docs/kernels/index) library.
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`fp32` / `fp16` / `bf16`, last dim from `1` up to `32768` (zero-padded to the
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next power of two internally).
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## Use
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