Instructions to use replicate/torch_harmonics_attn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use replicate/torch_harmonics_attn with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("replicate/torch_harmonics_attn", version=1) - Notebooks
- Google Colab
- Kaggle
File size: 531 Bytes
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tags:
- kernels
- cuda
---
> [!CAUTION]
> 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.
## Torch Harmonics Attn
Attention mechanisms for the Spherical Harmonics basis using the torch-harmonics package : https://github.com/NVIDIA/torch-harmonics/tree/main/torch_harmonics/attention |