pytorch mt5 seq2seq transformers text2text-generation
.gitattributes README.md config.json pytorch_model.bin readme.md special_tokens_map.json spiece.model tokenizer_config.json
##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-spanish` bert 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:**