Update README.md
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README.md
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tokenizer = BartTokenizer.from_pretrained('ihgn/paraphrase-detection')
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model = BartForConditionalGeneration.from_pretrained("ihgn/paraphrase-detection").to(device)
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source_sentence = "This was a series of nested angular standards , so that measurements in azimuth and elevation could be done directly in polar coordinates relative to the ecliptic."
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predicted_label = 1 if generated_text == '1' else 0
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print("Predicted Label:", predicted_label)
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paraphrase_detection(model, tokenizer, source_sentence, target_paraphrase)
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---
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pipeline_tag: text-classification
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---
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tokenizer = BartTokenizer.from_pretrained('ihgn/paraphrase-detection')
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model = BartForConditionalGeneration.from_pretrained("ihgn/paraphrase-detection").to(device)
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source_sentence = "This was a series of nested angular standards , so that measurements in azimuth and elevation could be done directly in polar coordinates relative to the ecliptic."
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predicted_label = 1 if generated_text == '1' else 0
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print("Predicted Label:", predicted_label)
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paraphrase_detection(model, tokenizer, source_sentence, target_paraphrase)
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