Text Classification
Transformers
Safetensors
PyTorch
English
modernbert
ModernBERT
bias
multi-class-classification
multi-label-classification
text-embeddings-inference
Instructions to use cirimus/modernbert-large-bias-type-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cirimus/modernbert-large-bias-type-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cirimus/modernbert-large-bias-type-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cirimus/modernbert-large-bias-type-classifier") model = AutoModelForSequenceClassification.from_pretrained("cirimus/modernbert-large-bias-type-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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If you use this model, please cite it as follows:
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```bibtex
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@inproceedings{
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title = {Bias Detection with ModernBERT-Large},
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author = {Enric Junqué de Fortuny},
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year = {2025},
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If you use this model, please cite it as follows:
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```bibtex
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@inproceedings{JunquedeFortuny2025c,
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title = {Bias Detection with ModernBERT-Large},
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author = {Enric Junqué de Fortuny},
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year = {2025},
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