Update README.md

README.md

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 "Offensive Speech Detector" is a text classification model based on Deberta that predicts whether a text contains offensive language or not. 
 The model is fine-tuned on the tweet_eval dataset, which consists of seven heterogeneous tasks in Twitter, all framed as multi-class tweet classification. The 'offensive' subset is used for this task. 
 
+**This model is part of our series in moderation models, which includes the following other models that may be of interest to you:**
+* [Hate Speech Detector](https://huggingface.co/KoalaAI/HateSpeechDetector)
+
+We believe these models can be used in tandem to support one another and thus build a more robust moderation tool, for example. 
+
 ## Intended uses & limitations
 
 Offensive Speech Detector is intended to be used as a tool for detecting offensive language in texts, which can be useful for applications such as content moderation, sentiment analysis, or social media analysis. The model can be used to filter out or flag tweets that contain offensive language, or to analyze the prevalence and patterns of offensive language.