keras
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bert_base_en_uncased

Divyasreepat commited on 5 days ago

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b973c6f

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1 Parent(s): 3ad5821

Update README.md with new model card content

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@@ -1,7 +1,7 @@
 ---
 library_name: keras-hub
 ---
-### Model Overview
 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.
 Weights and Keras model code are released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
@@ -41,7 +41,7 @@ The following model checkpoints are provided by the Keras team. Full code exampl
 | `bert_large_en_uncased`  | 335.14M    | 24-layer BERT model where all input is lowercased. |
 | `bert_large_en`          | 333.58M    | 24-layer BERT model where case is maintained. |
-### Example Usage
 ```python
 import keras
 import keras_hub

 ---
 library_name: keras-hub
 ---
+## Model Overview
 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.
 Weights and Keras model code are released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
 | `bert_large_en_uncased`  | 335.14M    | 24-layer BERT model where all input is lowercased. |
 | `bert_large_en`          | 333.58M    | 24-layer BERT model where case is maintained. |
+## Example Usage
 ```python
 import keras
 import keras_hub