Instructions to use Bruno/Harpia-7b-guanacoLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Bruno/Harpia-7b-guanacoLora with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Bruno/Harpia-7b-guanacoLora", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download har.png from Bruno/Harpia-7b-guanacoLora: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/Bruno/Harpia-7b-guanacoLora/resolve/main/har.png
- Command line
-
hf download hf://Bruno/Harpia-7b-guanacoLora/har.png
-
curl -L -o har.png https://huggingface.co/Bruno/Harpia-7b-guanacoLora/resolve/main/har.png
1.16 MB

- Xet hash:
- 58a7f15302c5d68d0ad06306fdcd8c3a275675e47078b0627804a273b86c283e
- Size of remote file:
- 1.16 MB
- SHA256:
- 5f0d552773d19895257726d40cf7c85604dd62957af71efbbcecfb8184e158f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.