Text Classification
Transformers
PyTorch
English
bert
hate-speech
hate-speech-detection
text-embeddings-inference
Instructions to use ctoraman/hate-speech-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctoraman/hate-speech-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ctoraman/hate-speech-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ctoraman/hate-speech-bert") model = AutoModelForSequenceClassification.from_pretrained("ctoraman/hate-speech-bert") - Notebooks
- Google Colab
- Kaggle
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# hate-speech-bert (base-uncased)
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Fine-tuned hate speech detection model on English language using Toraman22 v2 dataset published at https://github.com/
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Class labels:
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# hate-speech-bert (base-uncased)
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Fine-tuned hate speech detection model on English language using Toraman22 v2 dataset published at https://github.com/metunlp/hate-speech
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Class labels:
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