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transformers/docs/source/en/model_doc/retribert.md
Sylvain Gugger eb849f6604
Migrate doc files to Markdown. (#24376) 
* Rename index.mdx to index.md

* With saved modifs

* Address review comment

* Treat all files

* .mdx -> .md

* Remove special char

* Update utils/tests_fetcher.py

Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

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Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
2023-06-20 18:07:47 -04:00

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RetriBERT

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 - forward