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README.md
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-
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---
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arxiv: 2103.06333
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license: mit
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language:
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- code
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---
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This is an *unofficial* reupload of [uclanlp/plbart-python-en_XX](https://huggingface.co/uclanlp/plbart-python-en_XX) in the `SafeTensors` format using `transformers` `4.40.1`. The goal of this reupload is to prevent older models that are still relevant baselines from becoming stale as a result of changes in HuggingFace. Additionally, I may include minor corrections, such as model max length configuration.
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Please see the [original repo](https://github.com/wasiahmad/PLBART) for more information.
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Original model card below:
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---
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## PLBART is a Transformer model
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- PLBART is a sequence-to-sequence model pre-trained on a large collection Java and Python functions and natural
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language descriptions collected from Github and StackOverflow, respectively.
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- PLBART is pre-trained via denoising autoencoding (DAE) and uses three noising strategies: token masking, token
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deletion, and token infilling (shown below in the three examples).
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<div align="center">
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<table>
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<thead>
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<tr>
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<th>Noisy Input</th>
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<th>Original Sequence</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>Is 0 the <strong>[MASK]</strong> Fibonacci <strong>[MASK]</strong> ? <em><En></em></td>
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<td><em><En></em> Is 0 the <strong>first</strong> Fibonacci <strong>number</strong> ?</td>
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</tr>
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<tr>
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<td>public static main ( String args [ ] ) { date = Date ( ) ;
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System . out . ( String . format ( " Current Date : % tc " , ) ) ; } <em><java></em></td>
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<td><em><java></em> public static <strong>void</strong> main ( String args [ ] ) { <strong>Date</strong> date = new Date ( ) ;
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System . out . <strong>printf</strong> ( String . format ( " Current Date : % tc " , <strong>date</strong> ) ) ; }</td>
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</tr>
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<tr>
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<td>def addThreeNumbers ( x , y , z ) : NEW_LINE INDENT return <strong>[MASK]</strong> <em><python></em></td>
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<td><em><python></em> def addThreeNumbers ( x , y , z ) : NEW_LINE INDENT return <strong>x + y + z</strong></td>
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</tr>
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</tbody>
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</table>
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</div>
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