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Update README.md

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@@ -44,7 +44,7 @@ import gradio as gr
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  # init important things
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  tokenizer = BertTokenizerFast.from_pretrained('bert-base-uncased')
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- model = BertForTokenClassification.from_pretrained('maximuspowers/bias-detection-ner')
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  model.eval()
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  model.to('cuda' if torch.cuda.is_available() else 'cpu')
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  # init important things
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  tokenizer = BertTokenizerFast.from_pretrained('bert-base-uncased')
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+ model = BertForTokenClassification.from_pretrained('ethical-spectacle/social-bias-ner')
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  model.eval()
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  model.to('cuda' if torch.cuda.is_available() else 'cpu')
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