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* Reorganize doc for multilingual support * Fix style * Style * Toc trees * Adapt templates
41 lines
1.4 KiB
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41 lines
1.4 KiB
Plaintext
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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-->
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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
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Question Answering](https://yjernite.github.io/lfqa.html). RetriBERT is a small model that uses either a single or
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pair of BERT encoders with lower-dimension projection for dense semantic indexing of text.
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This model was contributed by [yjernite](https://huggingface.co/yjernite). Code to train and use the model can be
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found [here](https://github.com/huggingface/transformers/tree/main/examples/research-projects/distillation).
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## RetriBertConfig
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[[autodoc]] RetriBertConfig
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## RetriBertTokenizer
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[[autodoc]] RetriBertTokenizer
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## RetriBertTokenizerFast
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[[autodoc]] RetriBertTokenizerFast
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## RetriBertModel
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[[autodoc]] RetriBertModel
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- forward
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