Text Classification
Transformers
Safetensors
PyTorch
English
modernbert
spam-detection
automation-detection
long-context
text-embeddings-inference
Instructions to use WeReCooking/ModernBERT-risk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WeReCooking/ModernBERT-risk-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WeReCooking/ModernBERT-risk-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("WeReCooking/ModernBERT-risk-classifier") model = AutoModelForSequenceClassification.from_pretrained("WeReCooking/ModernBERT-risk-classifier") - Notebooks
- Google Colab
- Kaggle
add credits
Browse files
README.md
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# raga - mahoraga from anime (His ability is to adapt to nature itself)
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A tiny spicy ModernBERT classifier for text-risk signals
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> Potato did not write a README, so this appeared by magic!
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# raga - mahoraga from anime (His ability is to adapt to nature itself)
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A tiny spicy ModernBERT classifier for text-risk signals - Made by @PotatoOff
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> Potato did not write a README, so this appeared by magic!
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