import{s as Re,n as De,o as Ye}from"../chunks/scheduler.9cda857a.js";import{S as Ne,i as je,e as l,s as n,c as ne,h as Ge,a as s,d as a,b as o,f as oe,g as le,j as r,k as We,l as p,m as i,n as se,t as re,o as pe,p as ce}from"../chunks/index.003612b0.js";import{C as qe}from"../chunks/CopyLLMTxtMenu.44d08a39.js";import{C as ze}from"../chunks/CodeBlock.a90632f1.js";import{H as Ie,E as Ze}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.e5cfda8c.js";function Je(ve){let u,Y,R,N,f,j,g,G,v,be=`Demos on Hugging Face Spaces allow a wide audience to try out state-of-the-art machine
learning research without writing any code. <a href="https://huggingface.co/blog/arxiv" rel="nofollow">Hugging Face and ArXiv have collaborated</a>
to embed these demos directly along side papers on ArXiv!`,q,b,ye='Thanks to this integration, users can now find the most popular demos for a paper on its arXiv abstract page. For example, if you want to try out demos of the LayoutLM document classification model, you can go to <a href="https://arxiv.org/abs/1912.13318" rel="nofollow">the LayoutLM paper’s arXiv page</a>, and navigate to the demo tab. You will see open-source demos built by the machine learning community for this model, which you can try out immediately in your browser:',z,y,Me='<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/layout-lm-space-arxiv.gif"/>',I,M,xe="We’ll cover two different ways to add your Space to ArXiv and have it show up in the Demos tab.",Z,x,Le="<strong>Prerequisites</strong>",J,L,we="<li>There’s an existing paper on ArXiv that you’d like to create a demo for</li> <li>You have built or (can build) a demo for the model on Spaces</li>",U,w,_e="<strong>Method 1 (Recommended): Linking from the Space README</strong>",Q,_,He='The simplest way to add a Space to an ArXiv paper is to include the link to the paper in the Space README file (<code>README.md</code>). It’s good practice to include a full citation as well. You can see an example of a link and a citation on this <a href="https://huggingface.co/spaces/abidlabs/echocardiogram-arxiv/blob/main/README.md" rel="nofollow">Echocardiogram Segmentation Space README</a>.',V,H,Te="And that’s it! Your Space should appear in the Demo tab next to the paper on ArXiv in a few minutes 🤗",B,T,Ce="<strong>Method 2: Linking a Related Model</strong>",O,C,$e="An alternative approach can be used to link Spaces to papers by linking an intermediate model to the Space. This requires that the paper is <strong>associated with a model</strong> that is on the Hugging Face Hub (or can be uploaded there)",K,c,E,ke='<p>First, upload the model associated with the ArXiv paper onto the Hugging Face Hub if it is not already there. (<a href="./models-uploading">Detailed instructions are here</a>)</p>',de,A,Se='<p>When writing the model card (README.md) for the model, include a link to the ArXiv paper. It’s good practice to include a full citation as well. You can see an example of a link and a citation on the <a href="https://huggingface.co/microsoft/layoutlm-base-uncased" rel="nofollow">LayoutLM model card</a></p> <p><em>Note</em>: you can verify this step has been carried out successfully by seeing if an ArXiv button appears above the model card. In the case of LayoutLM, the button says: “arxiv:1912.13318” and links to the LayoutLM paper on ArXiv.</p> <p><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/arxiv-button.png"/></p>',ue,d,P,Ee="Then, create a demo on Spaces that loads this model. Somewhere within the code, the model name must be included in order for Hugging Face to detect that a Space is associated with it.",me,X,Ae='For example, the <a href="https://huggingface.co/spaces/iakarshu/docformer_for_document_classification" rel="nofollow">docformer_for_document_classification</a> Space loads the LayoutLM <a href="https://huggingface.co/spaces/iakarshu/docformer_for_document_classification/blob/main/modeling.py#L484" rel="nofollow">like this</a> and include the string <code>&quot;microsoft/layoutlm-base-uncased&quot;</code>:',he,$,fe,F,Pe='<em>Note</em>: Here’s an <a href="./spaces-overview">overview on building demos on Hugging Face Spaces</a> and here are more specific instructions for <a href="./spaces-sdks-gradio">Gradio</a> and <a href="./spaces-sdks-streamlit">Streamlit</a>.',ge,W,Xe='<p>As soon as your Space is built, Hugging Face will detect that it is associated with the model. A “Linked Models” button should appear in the top right corner of the Space, as shown here:</p> <p><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/linked-models.png"/></p> <p><em>Note</em>:  You can also add linked models manually by explicitly updating them in the <a href="https://huggingface.co/docs/hub/spaces-config-reference" rel="nofollow">README metadata for the Space, as described here</a>.</p>',ee,k,Fe="Your Space should appear in the Demo tab next to the paper on ArXiv in a few minutes 🤗",te,S,ae,D,ie;return f=new qe({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),g=new Ie({props:{title:"How to Add a Space to ArXiv",local:"how-to-add-a-space-to-arxiv",headingTag:"h1"}}),$=new ze({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMExheW91dExNRm9yVG9rZW5DbGFzc2lmaWNhdGlvbiUwQSUwQWxheW91dGxtX2R1bW15JTIwJTNEJTIwTGF5b3V0TE1Gb3JUb2tlbkNsYXNzaWZpY2F0aW9uLmZyb21fcHJldHJhaW5lZCglMjJtaWNyb3NvZnQlMkZsYXlvdXRsbS1iYXNlLXVuY2FzZWQlMjIlMkMlMjBudW1fbGFiZWxzJTNEMSk=",highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> LayoutLMForTokenClassification

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