58 lines
2.2 KiB
Markdown
58 lines
2.2 KiB
Markdown
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<!--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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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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-->
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*This model was released on 2020-06-12 and added to Hugging Face Transformers on 2023-06-20.*
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# RetriBERT
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<div class="flex flex-wrap space-x-1">
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<img alt="PyTorch" src="https://img.shields.io/badge/PyTorch-DE3412?style=flat&logo=pytorch&logoColor=white">
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</div>
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<Tip warning={true}>
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This model is in maintenance mode only, so we won't accept any new PRs changing its code.
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If you run into any issues running this model, please reinstall the last version that supported this model: v4.30.0.
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You can do so by running the following command: `pip install -U transformers==4.30.0`.
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</Tip>
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## Overview
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The [RetriBERT](https://huggingface.co/yjernite/retribert-base-uncased/tree/main) 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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