Instructions to use mdacampora/GenerAd-AI-Demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use mdacampora/GenerAd-AI-Demo with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("mdacampora/GenerAd-AI-Demo", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from mdacampora/GenerAd-AI-Demo: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/mdacampora/GenerAd-AI-Demo/resolve/main/README.md
- Command line
-
hf download hf://mdacampora/GenerAd-AI-Demo/README.md
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curl -L -o README.md https://huggingface.co/mdacampora/GenerAd-AI-Demo/resolve/main/README.md
163 Bytes
metadata
license: bigscience-openrail-m
datasets:
- mdacampora/generadai-solo-sample
language:
- en
library_name: adapter-transformers
pipeline_tag: text-generation