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:
- 2853373b953c800f8bc40433a4ca4662f2f77c658ee2144d48cbda75426bca27
- Size of remote file:
- 17.5 MB
- SHA256:
- 22449cb9ef4bad0db7dd93b46ddff7ab7d6a654dd4f903e130ddb6361eac3af5
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.