Instructions to use rievil/crackenpy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rievil/crackenpy with timm:
import timm model = timm.create_model("hf_hub:rievil/crackenpy", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8b2742daa5e5166a12f9cdd647eba77be976d8746809b93fd81da90fbee1a77
- Size of remote file:
- 358 MB
- SHA256:
- cf63edb6dafdb47ba2c89b394358427a4202c14968024a9a9411205a894c2b39
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.