Instructions to use Cognitive-Lab/Ambari-7B-Instruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Cognitive-Lab/Ambari-7B-Instruct-v0.2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Cognitive-Lab/Ambari-7B-Instruct-v0.2", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 795c0479a215f6cc86e35e40d5cc1bb54fba71ec8dff908cb9920a27a39a4503
- Size of remote file:
- 4.94 GB
- SHA256:
- 7b8223f66ac07e41a36388946cef7844f7f62e169232d71890b826d34d11189a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.