Instructions to use cmagganas/GenerAd-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use cmagganas/GenerAd-AI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("cmagganas/GenerAd-AI", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cmagganas/GenerAd-AI: direct link, hf CLI and curl.
- Browser
- Download file 12.6 MB
-
https://huggingface.co/cmagganas/GenerAd-AI/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cmagganas/GenerAd-AI/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cmagganas/GenerAd-AI/resolve/main/adapter_model.bin
12.6 MB
- Xet hash:
- 23c8e8b5af95a38dfedc117c250296370728b60e6818ddb4a22c479abb768680
- Size of remote file:
- 12.6 MB
- SHA256:
- 5173ccb3efcf597b6cb3838e4754cf38a91ee9315f32acb380d92c638c8b7281
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