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Update app.py
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app.py
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@@ -3,7 +3,7 @@ from transformers import BertForSequenceClassification
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# Load your BERT model
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model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)
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model.load_state_dict(torch.load('bert_model_complete.pth', map_location=torch.device('cpu')))
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model.eval() # Set the model to evaluation mode
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import gradio as gr
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from transformers import BertTokenizer
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# Load your BERT model
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model = BertForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=2)
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model.load_state_dict(torch.load('bert_model_complete.pth', map_location=torch.device('cpu'), weights_only=True), strict=False)
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model.eval() # Set the model to evaluation mode
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import gradio as gr
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from transformers import BertTokenizer
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