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##An MT5ForConditionalGeneration trained on 3 tasks from PAN Profiling Hate Speech Spreaders on Twitter dataset (ES):
topic attribution - topics were assigned with BertTopic library using embeddings from
Hate-speech-CNERG/dehatebert-mono-spanishbert model (train and test sets from the PAN task)hate speech identification (train set from the PAN task)
in order to generate tone of comment use prefix hater classification:
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# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("PaulAdversarial/PAN_twitter_hate_speech_2021_ES_MT5") model = AutoModelForMultimodalLM.from_pretrained("PaulAdversarial/PAN_twitter_hate_speech_2021_ES_MT5")