Instructions to use titantv090/dormant-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use titantv090/dormant-model-2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("titantv090/dormant-model-2", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f70417b4ff41fe13012c932e779397eaa7c6ae80016d23554a9f074c7e38caad
- Size of remote file:
- 4.99 GB
- SHA256:
- 405372e270652b7b7f6a7d36dbf8afbaebeef5a6fad1da83885e65d3433087d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.