The Model Library is a project that maps the risks associated with modern machine learning systems. Here, we assess some of the most recent and capable AI systems ever created.
Follow these instructions if you would like to submit a model to our library.
After completing the template file with your submission, add it to the submissions folder and make a PR request. All current models are stored on Hugging Face for our demo and in here for this repo. We use the md-to-csv.py script to turn all submissions into a table and the csv-to-md.py to reverse the process.
@misc{correa24library,
author = {Nicholas Kluge Corr{\^e}a and Faizah Naqvi and Robayet Rossain},
title = {Model Library},
year = {2024},
howpublished = {\url{https://github.com/Nkluge-correa/Model-Library}}
}
The code for this dashboard is licensed under the Apache 2.0 License.