A scanner that will scan your AI models for problems. Currently it focuses on bias testing. It is currently alpha.
Project description
daisybell
A scanner that will scan your AI models for problems. Currently it focuses on bias testing. It is currently alpha.
How to Use
First install it:
pip install daisybell
Run it in this manner (currently supports models from HuggingFace’s repository):
daisybell roberta-base
The scan can output files for further analysis:
daisybell roberta-base --output results/roberta-base
We will infer the task(s) of model by default but to provide specific tasks to test explicitly use the –task switch:
daisybell cross-encoder/nli-distilroberta-base --task zero-shot-classification
Daisybell can even scan chatbot models like StableLM for AI safety and alignment issues:
daisybell StabilityAI/stablelm-tuned-alpha-3b -d cuda:0
That’s it for now. More will come.
Future Work
More bias tests. More metrics for bias testing based on the research in the field.
Integration with other types of testing (eg. adversarial robustness)
More kinds of models besides HuggingFace models. We are especially interested in MLFlow integration.
Documentation.
Please contribute if you can. Help is always helpful.
License
Apache
Credit
A project of IQT Labs.
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