Target-Group Classifier
The RoBERTa-based target-demographic classifier is finetuned on the combined dataset of CONAN and CrowdCounter for classifying whether a sequence is about one or multiple of the 8 target group, based on the sexism detector cardiffnlp/tweet-topic-21-multi
Currently trained for the following classes: ["MIGRANTS", "POC", "LGBT+", "MUSLIMS", "WOMEN", "JEWS", "other", "DISABLED"]
Uses
The model is intended for classifying LM-generated dialogue responses, and evaluating their relevancy to the given input sequence.
- Downloads last month
- 10
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
HF Inference deployability: The model has no library tag.
Model tree for tum-nlp/target-group-classifier-2
Base model
cardiffnlp/tweet-topic-21-multi