Instructions to use sdlfkjsdflkjds/GenerAd-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use sdlfkjsdflkjds/GenerAd-AI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("sdlfkjsdflkjds/GenerAd-AI", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from sdlfkjsdflkjds/GenerAd-AI: direct link, hf CLI and curl.
- Browser
- Download file 12.6 MB
-
https://huggingface.co/sdlfkjsdflkjds/GenerAd-AI/resolve/main/adapter_model.bin
- Command line
-
hf download hf://sdlfkjsdflkjds/GenerAd-AI/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/sdlfkjsdflkjds/GenerAd-AI/resolve/main/adapter_model.bin
12.6 MB
- Xet hash:
- f8ca4960637d840c643b6974534b376b2a2b04d952b96d0fc27fc8cbbb2ca0b3
- Size of remote file:
- 12.6 MB
- SHA256:
- 98f1a5e7892458b9b0f82423f6a5917576210db9954f06d82382b72aa290c68c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.