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Create README.md
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README.md
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classifier_2 = BERTForClassification(bert_model=model, num_classes=6)
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classifier_2.load_weights('/content/drive/MyDrive/FineTunning2/model2.1/model')
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example_input = "Your work is very very bad"
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encoded_example = tokenizer.encode(example_input, padding=True, truncation=True, return_tensors="tf")
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p = classifier_2(encoded_example)
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