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
- Xet hash:
- 4e6fcb7d776b9ca75bed2a55a6171dc43156866bbb57b18b2c46c63e3b2fefa4
- Size of remote file:
- 438 MB
- SHA256:
- cabc19c3024d04e8d421035c62291501c3e7f2932c826b7dfd82dd81fb7001df
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