Kernels
PyTorch
cuda
structured-linear-algebra
state-space-models
s4
mamba
toeplitz
cauchy
displacement-rank
Instructions to use chrisvoncsefalvay/hotdog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use chrisvoncsefalvay/hotdog with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("chrisvoncsefalvay/hotdog") - Notebooks
- Google Colab
- Kaggle
Download flake.nix from chrisvoncsefalvay/hotdog: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
-
https://huggingface.co/chrisvoncsefalvay/hotdog/resolve/main/flake.nix
- Command line
-
hf download hf://chrisvoncsefalvay/hotdog/flake.nix
-
curl -L -o flake.nix https://huggingface.co/chrisvoncsefalvay/hotdog/resolve/main/flake.nix
391 Bytes
| # HOTDOG | |
| # Author: Chris von Csefalvay | |
| # Licence: MIT | |
| # Repository: https://github.com/chrisvoncsefalvay/hotdog | |
| # Hugging Face kernel: https://hf.co/chrisvoncsefalvay/hotdog | |
| { | |
| inputs = { | |
| kernel-builder.url = "github:huggingface/kernels"; | |
| }; | |
| outputs = | |
| { self, kernel-builder, ... }: | |
| kernel-builder.lib.genKernelFlakeOutputs { | |
| inherit self; | |
| path = ./.; | |
| }; | |
| } | |