mirror of
https://github.com/NVIDIA-NeMo/DataDesigner
synced 2026-05-24 09:48:29 +00:00
313f347363
* chore: simplify tutorial 4 image dataset and use default model config Switch from the large ColPali dataset (52 GB) to rokmr/pets (~23 MB) for faster downloads in the vision tutorial. Use the default nvidia-vision model alias instead of a custom ModelConfig block. * regen colab notebooks |
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| .. | ||
| 1-the-basics.py | ||
| 2-structured-outputs-and-jinja-expressions.py | ||
| 3-seeding-with-a-dataset.py | ||
| 4-providing-images-as-context.py | ||
| 5-generating-images.py | ||
| 6-editing-images-with-image-context.py | ||
| _pyproject.toml | ||
| _README.md | ||
| README.md | ||
📓 Notebooks in .py Format
In this folder you can find all our tutorial notebooks in .py format. They can be converted to actual Jupyter notebooks by typing
make convert-execute-notebooks
from the root of the repository. This will not only convert but also execute all of the notebooks -- for that to work, make sure you went through our Quick Start and have API keys set. A new folder docs/notebooks will be created, including README.md and pyproject.toml files.
Alternatively, you can use Jupytext directly
uv run --group notebooks --group docs jupytext --to ipynb *.py
🔄 Converting Jupyter notebooks to .py
If you want to contribute with your own notebook, you can use the following command to generate .py files in the same format as the ones in this folder:
uv run jupytext --to py [notebook-name].ipynb -o [notebook-name].py