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:
- fad162a0cf43fe6ce0bcb3ddeafaaa54ee2406071722269028b7029e72e704c1
- Size of remote file:
- 3.45 kB
- SHA256:
- 1429244de0f644a8ef3550867cb422e5259ad05ba141280d373abcc178060aed
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