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XLNet-LMGC-M for Machine-Paraphrased Plagiarism Detection
This is the checkpoint for LMGC based on XLNet-base after being trained on the Machine-Paraphrased Plagiarism Dataset: 
Additional information about this model:
The model can be loaded to perform Plagiarism like so:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
AutoModelForSequenceClassification("jpelhaw/xlnet-base-plagiarism-detection")
AutoTokenizer.from_pretrained("jpelhaw/xlnet-base-plagiarism-detection")
input = 'Copyright infringement is viewed as an infringement of scholarly uprightness and a penetrate of editorial morals.'
example = tokenizer.tokenize(input, add_special_tokens=True)
answer = model(**example)
# "plagiarism"
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