Instructions to use Raiff1982/Codette2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Raiff1982/Codette2 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Raiff1982/Codette2", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download Codette2_Kaggle_Template.py from Raiff1982/Codette2: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/Raiff1982/Codette2/resolve/main/Codette2_Kaggle_Template.py
- Command line
-
hf download hf://Raiff1982/Codette2/Codette2_Kaggle_Template.py
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curl -L -o Codette2_Kaggle_Template.py https://huggingface.co/Raiff1982/Codette2/resolve/main/Codette2_Kaggle_Template.py
163 Bytes
| # Codette2 End-to-End Kaggle Demo | |
| from ai_driven_creativity import AIDrivenCreativity | |
| from ethical_governance import EthicalAIGovernance | |
| (trimmed for brevity) | |