Instructions to use celinah/test_large_folder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celinah/test_large_folder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("celinah/test_large_folder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d73bd467f35d5b9017f8a6aa358889f10c85a4e3278497382c3d1baaba4fe5a
- Size of remote file:
- 524 MB
- SHA256:
- 8059a3147859009f1841e7df52364f20891709898ebf6150e4d1685103ab7e8f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.