Update README.md

README.md

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 license: cc-by-4.0
+language:
+- en
+pipeline_tag: text-classification
 ---
+
+# Target-Demographic Classifier
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+The roBERTa-based target-demographic classifier is finetuned on the [CONAN](https://github.com/marcoguerini/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](https://huggingface.co/cardiffnlp/tweet-topic-21-multi)
+
+Currently trained for the following classes:
+["MIGRANTS", "POC", "LGBT+", "MUSLIMS", "WOMEN", "JEWS", "other", "DISABLED"]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+The model is intended for classifying LM-generated dialogue responses, and evaluating their relevancy to the given input sequence.