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README.md
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- text-embedding
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pipeline_tag: text-classification
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---
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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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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-embedding
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pipeline_tag: 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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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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