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tum-nlp/roberta-target-demographic-classifier
roberta-target-demographic-classifier is a text classification model from tum-nlp. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-4.0.
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 cardi…
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From the Hugging Face model README
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"]
The model is intended for classifying LM-generated dialogue responses, and evaluating their relevancy to the given input sequence.