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("fill-in-model-name") model.load_adapter("Raiff1982/Codette2", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download kernel-metadata.json from Raiff1982/Codette2: direct link, hf CLI and curl.
- Browser
- Download file 929 Bytes
-
https://huggingface.co/Raiff1982/Codette2/resolve/main/kernel-metadata.json
- Command line
-
hf download hf://Raiff1982/Codette2/kernel-metadata.json
-
curl -L -o kernel-metadata.json https://huggingface.co/Raiff1982/Codette2/resolve/main/kernel-metadata.json
929 Bytes
| { | |
| "id": "jonathanharrison/codette-v2-demo", | |
| "title": "Codette v2 Demo: Neuro-Symbolic AI Assistant", | |
| "code_file": "codette_kaggle_demo.ipynb", | |
| "language": "python", | |
| "kernel_type": "notebook", | |
| "is_private": false, | |
| "enable_gpu": false, | |
| "enable_internet": false, | |
| "dataset_sources": [ | |
| "jonathanharrison/codette-v2-bundle" | |
| ], | |
| "keywords": [ | |
| "AI", | |
| "Codette", | |
| "Assistant", | |
| "Neuro-Symbolic", | |
| "Creativity" | |
| ], | |
| "subtitle": "Test and explore Codette's reasoning engine using bundled CLI, API, and test runners.", | |
| "description": "This notebook walks you through how to install and interact with the Codette AI system, a neuro-symbolic assistant that blends creativity, symbolic reasoning, and ethical filtering.\\n\\nIt leverages the pip-installable Codette package and demonstrates interactive queries and batch processing.\\nTo use it, simply run each cell in order.", | |
| "license": "mit" | |
| } |