Instructions to use l3cube-pune/marathi-paraphrase-detection-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/marathi-paraphrase-detection-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="l3cube-pune/marathi-paraphrase-detection-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/marathi-paraphrase-detection-bert") model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/marathi-paraphrase-detection-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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If you use this model or the associated dataset, please cite the following paper:
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```bibtex
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@article{
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title={MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models},
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author={
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journal={arXiv preprint arXiv:2508.17444},
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year={2025}
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url={https://arxiv.org/abs/2508.17444}
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}
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```
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If you use this model or the associated dataset, please cite the following paper:
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```bibtex
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@article{jadhav2025mahaparaphrase,
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title={MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models},
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author={Jadhav, Suramya and Shanbhag, Abhay and Thakurdesai, Amogh and Sinare, Ridhima and Joshi, Ananya and Joshi, Raviraj},
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journal={arXiv preprint arXiv:2508.17444},
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year={2025}
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}
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```
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