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
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Download README.md from cmagganas/GenerAd-AI: direct link, hf CLI and curl.
- Browser
- Download file 164 Bytes
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https://huggingface.co/cmagganas/GenerAd-AI/resolve/main/README.md
- Command line
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hf download hf://cmagganas/GenerAd-AI/README.md
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curl -L -o README.md https://huggingface.co/cmagganas/GenerAd-AI/resolve/main/README.md
164 Bytes
metadata
license: bigscience-openrail-m
datasets:
- generativeaidemo/generadai-sample
language:
- en
library_name: adapter-transformers
pipeline_tag: text-generation