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
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https://huggingface.co/mdacampora/GenerAd-AI-Demo/resolve/main/README.md
- Command line
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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
| license: bigscience-openrail-m | |
| datasets: | |
| - mdacampora/generadai-solo-sample | |
| language: | |
| - en | |
| library_name: adapter-transformers | |
| pipeline_tag: text-generation | |