Edit model card

Target-Demographic Classifier

The roBERTa-based target-demographic classifier is finetuned on the CONAN dataset for classifying whether a response's content is about one or multiple of the 8 target demographics, based on the topic classifier 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
24
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.