Instructions to use colaibu/train_moxing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use colaibu/train_moxing with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("colaibu/train_moxing", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 736310d80bbdeebf0904306661e5c4ddf60be60bf33f4f5c22499b9f15d2727d
- Size of remote file:
- 7.15 GB
- SHA256:
- 4527630866615c9b92a29457056ff2155c799c82753ce152c26ca2e1afb03bc2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.