plbart-csnet / README.md
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---
arxiv: 2103.06333
license: mit
language:
- code
---
This is an *unofficial* reupload of [uclanlp/plbart-csnet](https://huggingface.co/uclanlp/plbart-csnet) 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.
Please see the [original repo](https://github.com/wasiahmad/PLBART) for more information.
Original model card below:
---
## PLBART is a Transformer model
- PLBART is a sequence-to-sequence model pre-trained on a large collection Java and Python functions and natural
language descriptions collected from Github and StackOverflow, respectively.
- PLBART is pre-trained via denoising autoencoding (DAE) and uses three noising strategies: token masking, token
deletion, and token infilling (shown below in the three examples).
<div align="center">
<table>
<thead>
<tr>
<th>Noisy Input</th>
<th>Original Sequence</th>
</tr>
</thead>
<tbody>
<tr>
<td>Is 0 the <strong>[MASK]</strong> Fibonacci <strong>[MASK]</strong> ? <em>&lt;En&gt;</em></td>
<td><em>&lt;En&gt;</em> Is 0 the <strong>first</strong> Fibonacci <strong>number</strong> ?</td>
</tr>
<tr>
<td>public static main ( String args [ ] ) { date = Date ( ) ;
System . out . ( String . format ( " Current Date : % tc " , ) ) ; } <em>&lt;java&gt;</em></td>
<td><em>&lt;java&gt;</em> public static <strong>void</strong> main ( String args [ ] ) { <strong>Date</strong> date = new Date ( ) ;
System . out . <strong>printf</strong> ( String . format ( " Current Date : % tc " , <strong>date</strong> ) ) ; }</td>
</tr>
<tr>
<td>def addThreeNumbers ( x , y , z ) : NEW_LINE INDENT return <strong>[MASK]</strong> <em>&lt;python&gt;</em></td>
<td><em>&lt;python&gt;</em> def addThreeNumbers ( x , y , z ) : NEW_LINE INDENT return <strong>x + y + z</strong></td>
</tr>
</tbody>
</table>
</div>