Instructions to use KakashiH/BashExplainer_Gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use KakashiH/BashExplainer_Gemma with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("KakashiH/BashExplainer_Gemma", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c23644238547deba1e34d0fd935d7447bee7db9dc037051d427bd5a8d47973
- Size of remote file:
- 4.92 kB
- SHA256:
- be31395c066184a1486e4e9d15f032f0bb5cbe67fc555b7a6556e12715cc6332
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.