##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:**
{}
transformers pytorch mt5 text2text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

##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:
TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
