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Update README.md

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@@ -23,16 +23,15 @@ Multi-label binary sequence classification model developed by [Dejan Marketing](
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  This model is an albert/albert-base-v2 fine-tune trained to return an array of values for 10 classification labels.
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- # Human-readable labels
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- label_map = {
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- 1: 'Commercial',
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- 2: 'Non-Commercial',
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- 3: 'Branded',
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- 4: 'Non-Branded',
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- 5: 'Informational',
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- 6: 'Navigational',
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- 7: 'Transactional',
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- 8: 'Commercial Investigation',
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- 9: 'Local',
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- 10: 'Entertainment'
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- }
 
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  This model is an albert/albert-base-v2 fine-tune trained to return an array of values for 10 classification labels.
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+ # Labels
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+
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+ LABEL_0: 'Commercial',
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+ LABEL_1: 'Non-Commercial',
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+ LABEL_2: 'Branded',
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+ LABEL_3: 'Non-Branded',
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+ LABEL_4: 'Informational',
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+ LABEL_5: 'Navigational',
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+ LABEL_6: 'Transactional',
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+ LABEL_7: 'Commercial Investigation',
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+ LABEL_8: 'Local',
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+ LABEL_9: 'Entertainment'