Instructions to use md13/vanitas-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MambaSSM
How to use md13/vanitas-sft with MambaSSM:
from mamba_ssm import MambaLMHeadModel model = MambaLMHeadModel.from_pretrained("md13/vanitas-sft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73285c8425cbe90fcd74c405ed5e43b52d6f4b0ded193dfc30823b2249c7367e
- Size of remote file:
- 269 MB
- SHA256:
- 1d74344022e4cadabfb3577281788593ebcc1ec632569ebbff0d91092fb98df2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.