# 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


{"language": ["en"], "datasets": ["hatexplain"], "pipeline_tag": "text-classification"}
transformers pytorch bert text-classification en dataset:hatexplain autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #en #dataset-hatexplain #autotrain_compatible #endpoints_compatible #region-us 

# 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: URL


# 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: URL
TAGS
#transformers #pytorch #bert #text-classification #en #dataset-hatexplain #autotrain_compatible #endpoints_compatible #region-us 
 # 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: URL