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Update README.md with new model card content
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README.md
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- text-classification
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pipeline_tag: text-classification
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---
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-
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BERT (Bidirectional Encoder Representations from Transformers) is a set of language models published by Google. They are intended for classification and embedding of text, not for text-generation. See the model card below for benchmarks, data sources, and intended use cases.
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Weights and Keras model code are released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
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preprocessor=None,
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)
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classifier.fit(x=features, y=labels, batch_size=2)
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```
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- text-classification
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pipeline_tag: text-classification
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---
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### Model Overview
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BERT (Bidirectional Encoder Representations from Transformers) is a set of language models published by Google. They are intended for classification and embedding of text, not for text-generation. See the model card below for benchmarks, data sources, and intended use cases.
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Weights and Keras model code are released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
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preprocessor=None,
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)
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classifier.fit(x=features, y=labels, batch_size=2)
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```
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