Instructions to use Efficient-Large-Model/Sol-Attn-Kernel-Source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use Efficient-Large-Model/Sol-Attn-Kernel-Source with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("Efficient-Large-Model/Sol-Attn-Kernel-Source") - Notebooks
- Google Colab
- Kaggle
| [general] | |
| name = "sol-attn" | |
| version = 1 | |
| edition = 5 | |
| license = "Apache-2.0" | |
| backends = ["cuda"] | |
| python-depends = ["tvm-ffi"] | |
| upstream = "https://github.com/NVlabs/Sana.git" | |
| source = "https://huggingface.co/Efficient-Large-Model/Sol-Attn-Kernel-Source" | |
| [general.cuda] | |
| minver = "12.8" | |
| python-depends = ["nvidia-cutlass-dsl"] | |
| [general.hub] | |
| repo-id = "Efficient-Large-Model/Sol-Attn" | |
| [torch-noarch] | |
| cuda-capabilities = ["8.0", "8.9", "9.0", "10.0", "12.0"] | |
| [kernel] | |