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Update README.md

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  ---
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  library_name: keras-hub
 
 
 
 
 
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  ---
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  ## Model Overview
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  DistilBert is a set of language models published by HuggingFace. They are efficient, distilled version of BERT, and 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.
@@ -142,4 +147,4 @@ classifier = keras_hub.models.DistilBertClassifier.from_preset(
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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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  ---
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  library_name: keras-hub
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+ license: apache-2.0
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+ language:
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+ - en
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+ tags:
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+ - text-classification
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  ---
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  ## Model Overview
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  DistilBert is a set of language models published by HuggingFace. They are efficient, distilled version of BERT, and 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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  preprocessor=None,
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  )
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  classifier.fit(x=features, y=labels, batch_size=2)
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+ ```