Sexism and Hate Speech Mitigation
Collection
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# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("tum-nlp/bert-counterspeech-classifier")
model = AutoModelForSequenceClassification.from_pretrained("tum-nlp/bert-counterspeech-classifier")Quick Links
Counter-Speech Classifier
The BERT-based counter-speech classifier is finetuned on the CONAN dataset for classifying whether a response is counter-speech, based on the counter-argument classifier ThinkCERCA/counterargument_hugging
Uses
The model is intended for classifying LM-generated dialogue responses, evaluating their validity as counter-speech.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tum-nlp/bert-counterspeech-classifier")