
# Hate Speech Detector 
This model is a fork of the [bert-based-uncased-hatespeech-movies](https://huggingface.co/uhhlt/bert-based-uncased-hatespeech-movies) model. It is used to classify text as **normal**, **offensive**, **hatespeech**. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset.

## Test it out
You can test this model live on [Spaces](https://huggingface.co/spaces/risingodegua/hate-speech-detector)

{"language": "en", "datasets": ["twitter", "movies subtitles"], "tag": "text-classification"}
transformers tf bert text-classification en autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #tf #bert #text-classification #en #autotrain_compatible #endpoints_compatible #has_space #region-us 


# Hate Speech Detector 
This model is a fork of the bert-based-uncased-hatespeech-movies model. It is used to classify text as normal, offensive, hatespeech. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset.

## Test it out
You can test this model live on Spaces

# Hate Speech Detector 
This model is a fork of the bert-based-uncased-hatespeech-movies model. It is used to classify text as normal, offensive, hatespeech. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset. ## Test it out
You can test this model live on Spaces
TAGS
#transformers #tf #bert #text-classification #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Hate Speech Detector 
This model is a fork of the bert-based-uncased-hatespeech-movies model. It is used to classify text as normal, offensive, hatespeech. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset. ## Test it out
You can test this model live on Spaces
passage: TAGS
#transformers #tf #bert #text-classification #en #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Hate Speech Detector 
This model is a fork of the bert-based-uncased-hatespeech-movies model. It is used to classify text as normal, offensive, hatespeech. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset.## Test it out
You can test this model live on Spaces