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+ ---
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+ language: "ISO 639-1 code for your language, or `multilingual`"
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+ thumbnail: "url to a thumbnail used in social sharing"
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+ tags:
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+ - array
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+ - of
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+ - tags
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+ license: "any valid license identifier"
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+ datasets:
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+ - array of dataset identifiers
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+ metrics:
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+ - array of metric identifiers
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+ widget:
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+ - text: "Plagiarism is the representation of another author's writing, thoughts, ideas, or expressions as one's own work."
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+ ---
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+
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+ # T5-large for Word Sense Disambiguation
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+
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+ This is the checkpoint for T5-large after being trained on the Machine-Paraphrased Plagiarism Dataset: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3608000.svg)](https://doi.org/10.5281/zenodo.3608000)
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+
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+ Additional information about this model:
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+
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+ * [The longformer-base-4096 model page](https://huggingface.co/allenai/longformer-base-4096)
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+ * [Longformer: The Long-Document Transformer](https://arxiv.org/pdf/2004.05150.pdf)
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+ * [Official implementation by AllenAI](https://github.com/allenai/longformer)
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+
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+ The model can be loaded to perform Plagiarism like so:
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+
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+ ```py
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ AutoModelForSequenceClassification("jpelhaw/longformer-base-plagiarism-detection")
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+ AutoTokenizer.from_pretrained("jpelhaw/longformer-base-plagiarism-detection")
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+
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+ input = 'Plagiarism is the representation of another author's writing, thoughts, ideas, or expressions as one's own work.'
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+
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+
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+ example = tokenizer.tokenize(input, add_special_tokens=True)
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+
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+ answer = model(**example)
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+
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+ # "plagiarised"
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+ ```