

Overview
The RetriBERT model was proposed in the blog post Explain Anything Like I'm Five: A Model for Open Domain Long Form
Question Answering. RetriBERT is a small model that uses either a single or
pair of BERT encoders with lower-dimension projection for dense semantic indexing of text.
This model was contributed by yjernite. Code to train and use the model can be
found here.
RetriBertConfig
[[autodoc]] RetriBertConfig
RetriBertTokenizer
[[autodoc]] RetriBertTokenizer
RetriBertTokenizerFast
[[autodoc]] RetriBertTokenizerFast
RetriBertModel
[[autodoc]] RetriBertModel
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