Twitter roBERTa base for Offensive Language Identification This is a roBERTa base model trained on ~58M tweets and finetuned for offensive language identification with the TweetEval benchmark. Paper: TweetEval benchmark (Findings of EMNLP 2020). Git Repo: Tweeteval official repository. Example of classification Output:
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