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Update README.md

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@@ -39,7 +39,7 @@ pipeline_tag: image-text-to-text
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  ## ⌨️ Get started (code examples)
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- You can use transformers or docling to perform inference:
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  <details>
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  <summary>📄 Single page image inference using Tranformers 🤖</summary>
@@ -195,32 +195,32 @@ DocTags are integrated with Docling, which allows export to HTML, Markdown, and
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  <td><b>Comment</b></td>
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  </tr>
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  <tr>
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- <td>Full conversion</td>
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  <td>Convert this page to docling.</td>
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- <td></td>
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  </tr>
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  <tr>
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- <td>Chart</td>
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  <td>Convert chart to table.</td>
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  <td>(e.g., &lt;chart&gt;)</td>
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  </tr>
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  <tr>
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- <td>Formula</td>
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  <td>Convert formula to LaTeX.</td>
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  <td>(e.g., &lt;formula&gt;)</td>
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  </tr>
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  <tr>
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- <td>Code</td>
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  <td>Convert code to text.</td>
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  <td>(e.g., &lt;code&gt;)</td>
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  </tr>
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  <tr>
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- <td>Table</td>
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  <td>Convert table to OTSL.</td>
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  <td>(e.g., &lt;otsl&gt;) OTSL: <a href="https://arxiv.org/pdf/2305.03393">Lysak et al., 2023</a></td>
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  </tr>
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  <tr>
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- <td rowspan=4>No-Code Actions/Pipelines</td>
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  <td>OCR the text in a specific location: &lt;loc_155&gt;&lt;loc_233&gt;&lt;loc_206&gt;&lt;loc_237&gt;</td>
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  <td></td>
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  </tr>
 
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  ## ⌨️ Get started (code examples)
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+ You can use transformers or vllm to perform inference, and [Docling](https://github.com/docling-project/docling) to convert results to variety of ourput formats (md, html, etc.):
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  <details>
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  <summary>📄 Single page image inference using Tranformers 🤖</summary>
 
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  <td><b>Comment</b></td>
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  </tr>
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  <tr>
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+ <td><b>Full conversion</b></td>
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  <td>Convert this page to docling.</td>
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+ <td>DocTags represetation</td>
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  </tr>
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  <tr>
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+ <td><b>Chart</b></td>
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  <td>Convert chart to table.</td>
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  <td>(e.g., &lt;chart&gt;)</td>
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  </tr>
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  <tr>
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+ <td><b>Formula</b></td>
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  <td>Convert formula to LaTeX.</td>
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  <td>(e.g., &lt;formula&gt;)</td>
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  </tr>
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  <tr>
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+ <td><b>Code</b></td>
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  <td>Convert code to text.</td>
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  <td>(e.g., &lt;code&gt;)</td>
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  </tr>
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  <tr>
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+ <td><b>Table</b></td>
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  <td>Convert table to OTSL.</td>
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  <td>(e.g., &lt;otsl&gt;) OTSL: <a href="https://arxiv.org/pdf/2305.03393">Lysak et al., 2023</a></td>
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  </tr>
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  <tr>
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+ <td rowspan=4><b>Actions and Pipelines</b></td>
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  <td>OCR the text in a specific location: &lt;loc_155&gt;&lt;loc_233&gt;&lt;loc_206&gt;&lt;loc_237&gt;</td>
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  <td></td>
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  </tr>