Spaces:
Running
Download REPRODUCE.md from Hugdrigo/modelops-research-lab: direct link, hf CLI and curl.
- Browser
- Download file 1.12 kB
-
https://huggingface.co/spaces/Hugdrigo/modelops-research-lab/resolve/main/REPRODUCE.md
- Command line
-
hf download hf://spaces/Hugdrigo/modelops-research-lab/REPRODUCE.md
-
curl -L -o REPRODUCE.md https://huggingface.co/spaces/Hugdrigo/modelops-research-lab/resolve/main/REPRODUCE.md
Reproducing the experiments
Browser
Upload the repository files to one root folder in a Hugging Face Static Space. Open App. Models fit automatically (locally) to train.json. Open Overview, or Experiments → Run four baselines. Select challenge (54) or IID (130); enter a bootstrap seed. Download metrics JSON and prediction CSV.
Node, no dependencies
node --test test_engine.js
node benchmark_cli.js
Both commands use only Node 18+ built-ins and the bundled dataset files. No Hugging Face token, Python packages or GPU needed.
Browser test, optional
python -m pip install playwright
python -m playwright install chromium
python test_browser.py
The test injects local project files directly into the Chromium page and mocks fetch only for fixture-loading to avoid external network dependency in restricted CI. This is not a test of deployed Hugging Face hosting.
Interpreting results
Use the fixed split names. Do not compare any archived Python-model evaluations as if they used the same code. Synthetic evaluations are not proof of generalization to real scholarly work.