Instructions to use Ponce-01/DFEP-03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ponce-01/DFEP-03 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Ponce-01/DFEP-03", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ponce-01/DFEP-03: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/Ponce-01/DFEP-03/resolve/main/training_args.bin
- Command line
-
hf download hf://Ponce-01/DFEP-03/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ponce-01/DFEP-03/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- a7bd4864d6f0be0b44a13d17430b45dbb00068579899543108ba65e8b9204e92
- Size of remote file:
- 4.41 kB
- SHA256:
- 3a64c185caab09e14df548c079169b1799a60faaf1cbb82e7f27060d562d0090
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