retribert.rst

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    Copyright 2020 The HuggingFace Team. All rights reserved.

    Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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        http://www.apache.org/licenses/LICENSE-2.0

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RetriBERT
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Overview
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The RetriBERT model was proposed in the blog post `Explain Anything Like I'm Five: A Model for Open Domain Long Form
Question Answering <https://yjernite.github.io/lfqa.html>`__. 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.

Code to train and use the model can be found `here
<https://github.com/huggingface/transformers/tree/master/examples/distillation>`__.


RetriBertConfig
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.. autoclass:: transformers.RetriBertConfig
    :members:


RetriBertTokenizer
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.. autoclass:: transformers.RetriBertTokenizer
    :members:


RetriBertTokenizerFast
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.. autoclass:: transformers.RetriBertTokenizerFast
    :members:


RetriBertModel
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.. autoclass:: transformers.RetriBertModel
    :members: forward