Instructions to use IMSyPP/hate_speech_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IMSyPP/hate_speech_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IMSyPP/hate_speech_en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IMSyPP/hate_speech_en") model = AutoModelForSequenceClassification.from_pretrained("IMSyPP/hate_speech_en") - Notebooks
- Google Colab
- Kaggle
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# Hate Speech Classifier for Social Media Content in English Language
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A monolingual model for hate speech classification of social media content in English language. The model was trained on 103190 YouTube comments and tested on an independent test set of 20554 YouTube comments. It is based on English BERT base pre-trained language model.
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- text: "My name is Mark and I live in London. I am a postgraduate student at Queen Mary University."
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# Hate Speech Classifier for Social Media Content in English Language
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A monolingual model for hate speech classification of social media content in English language. The model was trained on 103190 YouTube comments and tested on an independent test set of 20554 YouTube comments. It is based on English BERT base pre-trained language model.
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