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 ![BERT Base Uncased TensorFlow Sentence Pair Classification](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3340c918010a2e8b1991215512313653/bert-base-uncased-tensorflow-sentence-pair-classification.png "BERT Base Uncased TensorFlow Sentence Pair Classification")
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# BERT Base Uncased TensorFlow Sentence Pair Classification Discussions

This is a Sentence Pair Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/tensorflow/bert\_en\_uncased\_L-12\_H-768\_A-12/2 ). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input pair of sentences.

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