- numpy
- torch
- transformers
We release the debiased model here.
python generate_prompts.py \
--debias_type gender or race
--model_type bert or roberta or albert
--model_name_or_path bert-base-uncased, etc
python auto-debias.py
--debias_type gender or race
--model_type bert or roberta or albert
--model_name_or_path bert-base-uncased, etc
--prompts_file prompts_bert-base-uncased_gender
### SEAT We run the SEAT using the code from Liang et al.
### GLUE We run GLUE from transformers.
$ claude mcp add Auto-Debias \
-- python -m otcore.mcp_server <graph>