Instructions to use jpwahle/longformer-base-plagiarism-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jpwahle/longformer-base-plagiarism-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jpwahle/longformer-base-plagiarism-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jpwahle/longformer-base-plagiarism-detection") model = AutoModelForSequenceClassification.from_pretrained("jpwahle/longformer-base-plagiarism-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Longformer-base for Machine-Paraphrase Detection
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If you use the dataset in any way, please cite the following paper. Preprint: https://arxiv.org/abs/
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@InProceedings{10.1007/978-3-030-96957-8_34,
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# Longformer-base for Machine-Paraphrase Detection
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If you use the dataset in any way, please cite the following paper. Preprint: https://arxiv.org/abs/2103.11909
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```
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@InProceedings{10.1007/978-3-030-96957-8_34,
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