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
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Download Codette2_Model_Card.md from Raiff1982/Codette2: direct link, hf CLI and curl.
- Browser
- Download file 277 Bytes
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https://huggingface.co/Raiff1982/Codette2/resolve/main/Codette2_Model_Card.md
- Command line
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hf download hf://Raiff1982/Codette2/Codette2_Model_Card.md
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curl -L -o Codette2_Model_Card.md https://huggingface.co/Raiff1982/Codette2/resolve/main/Codette2_Model_Card.md
277 Bytes
| # Codette2 - Cognitive AI Assistant | |
| **Author**: Jonathan Harrison | |
| **Model Version**: v2.0 | |
| **Fine-tuned on**: GPT-4.1 | |
| **Training Loss Achieved**: 0.00001 (450+ steps) | |
| **Status**: Production-ready cognitive assistant with multi-agent reasoning | |
| ... (trimmed for brevity) | |