Instructions to use SZLHOLDINGS/YARQA-ATTN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/YARQA-ATTN with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/YARQA-ATTN") - Notebooks
- Google Colab
- Kaggle
Bind GitHub szl-holdings/YARQA-ATTN@098d19b: KERNEL card (python present, not import-LIVE) + torch-ext/yarqa_attn
621477d verified | { | |
| description = "Flake for yarqa-attn (torch-noarch CPU compartment attention)"; | |
| inputs = { | |
| kernel-builder.url = "github:huggingface/kernels"; | |
| }; | |
| outputs = | |
| { | |
| self, | |
| kernel-builder, | |
| }: | |
| kernel-builder.lib.genKernelFlakeOutputs { | |
| inherit self; | |
| path = ./.; | |
| # pytest is for testshell only. Do not add it as a runtime | |
| # dependency of the kernel package. | |
| pythonCheckInputs = pkgs: with pkgs; [ pytest ]; | |
| }; | |
| } | |