Text Classification
Transformers
Safetensors
PyTorch
English
roberta
hate-speech-and-offensive-message-detection
Instructions to use AshiniR/hate-speech-and-offensive-message-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AshiniR/hate-speech-and-offensive-message-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AshiniR/hate-speech-and-offensive-message-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AshiniR/hate-speech-and-offensive-message-classifier") model = AutoModelForSequenceClassification.from_pretrained("AshiniR/hate-speech-and-offensive-message-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Add fine-tuned RoBERTa model for hate speech and offensive language classification
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