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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.
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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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tags:
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- text-classification
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- text-embedding
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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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```
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