# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Kanit/bert-hateXplain")
model = AutoModelForSequenceClassification.from_pretrained("Kanit/bert-hateXplain")Quick Links
BERT for hate speech classification
The model is based on BERT and used for classifying a text as toxic and non-toxic.
The model was fine-tuned on the HateXplain dataset found here: https://huggingface.co/datasets/hatexplain
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kanit/bert-hateXplain")