Text Classification
Transformers
Safetensors
English
modernbert
ai-text-detection
idea-provenance
text-embeddings-inference
Instructions to use rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly") model = AutoModelForSequenceClassification.from_pretrained("rishanthrajendhran/IdeaLens-ModernBERT-L-RolesOnly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Card: cite the arXiv paper (2610.06778)
Browse files
README.md
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```bibtex
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@article{idealens2026,
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journal
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}
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```
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```bibtex
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@article{idealens2026,
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title = {IdeaLens: Detecting AI Ideas in Long-form Writing},
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author = {Rajendhran, Rishanth and Choi, Minjoon and Russell, Jenna and Namuduri, Ramya and B{\"o}l{\"o}ni-Turgut, Deniz and Karpinska, Marzena and Wieting, John and Iyyer, Mohit},
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journal = {arXiv preprint arXiv:2610.06778},
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year = {2026},
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eprint = {2610.06778},
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archivePrefix = {arXiv},
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primaryClass = {cs.CL},
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url = {https://arxiv.org/abs/2610.06778}
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}
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```
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