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Update README.md

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@@ -16,7 +16,7 @@ import pandas as pd
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  tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
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  # Load RoBERTa pre-trained model
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- model = RobertaForSequenceClassification.from_pretrained('roberta-base', num_labels=2)
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  model = model.to(torch.device('cuda' if torch.cuda.is_available() else 'cpu'))
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  tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
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  # Load RoBERTa pre-trained model
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+ model = RobertaForSequenceClassification.from_pretrained('KameronB/SITCC-Incident-Request-Classifier', num_labels=2)
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  model = model.to(torch.device('cuda' if torch.cuda.is_available() else 'cpu'))
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