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:
- ec7fb579de615655bfe9a77152f85b874dfb927959169700ea4c8f9bed9fee65
- Size of remote file:
- 4.99 GB
- SHA256:
- 113ecbef28a9e9902e24ab664e51990204bdaba85fd5c97e42e72072604cdc19
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.