import{s as Ct,o as Ht,n as Tt}from"../chunks/scheduler.6062bdaf.js";import{S as Lt,i as Mt,g as i,s as t,r as u,A as Pt,h as o,f as a,c as r,j as I,u as h,x as g,k as v,y as n,a as p,v as l,d as m,t as _,w as b}from"../chunks/index.4bca734e.js";import{T as jt}from"../chunks/Tip.b9ac1f03.js";import{D as k}from"../chunks/Docstring.d7918b6d.js";import{C as At}from"../chunks/CodeBlock.fa01571c.js";import{E as Dt}from"../chunks/ExampleCodeBlock.d27cbfa4.js";import{H as Ze,E as qt}from"../chunks/EditOnGithub.74ab2baa.js";function Vt(be){let f,M='‘huggingface_hub’를 사용하여 추론 엔드포인트를 프로그래밍 방식으로 관리하는 방법을 알고 싶다면, <a href="../guides/inference_endpoints">관련 가이드</a>를 확인해 보세요.';return{c(){f=i("p"),f.innerHTML=M},l($){f=o($,"P",{"data-svelte-h":!0}),g(f)!=="svelte-k34n4y"&&(f.innerHTML=M)},m($,x){p($,f,x)},p:Tt,d($){$&&a(f)}}}function zt(be){let f,M="Example:",$,x,y;return x=new At({props:{code:"ZnJvbSUyMGh1Z2dpbmdmYWNlX2h1YiUyMGltcG9ydCUyMGdldF9pbmZlcmVuY2VfZW5kcG9pbnQlMEFlbmRwb2ludCUyMCUzRCUyMGdldF9pbmZlcmVuY2VfZW5kcG9pbnQoJTIybXktdGV4dC10by1pbWFnZSUyMiklMEFlbmRwb2ludCUwQSUwQWVuZHBvaW50LnN0YXR1cyUwQWVuZHBvaW50LnVybCUwQSUwQWVuZHBvaW50LmNsaWVudC50ZXh0X3RvX2ltYWdlKC4uLiklMEElMEFlbmRwb2ludC5wYXVzZSgpJTBBJTBBZW5kcG9pbnQucmVzdW1lKCklMEFlbmRwb2ludC53YWl0KCklMEFlbmRwb2ludC5jbGllbnQudGV4dF90b19pbWFnZSguLi4p",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> get_inference_endpoint
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint = get_inference_endpoint(<span class="hljs-string">&quot;my-text-to-image&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint
InferenceEndpoint(name=<span class="hljs-string">&#x27;my-text-to-image&#x27;</span>, ...)

<span class="hljs-comment"># Get status</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.status
<span class="hljs-string">&#x27;running&#x27;</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.url
<span class="hljs-string">&#x27;https://my-text-to-image.region.vendor.endpoints.huggingface.cloud&#x27;</span>

<span class="hljs-comment"># Run inference</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.client.text_to_image(...)

<span class="hljs-comment"># Pause endpoint to save $$$</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.pause()

<span class="hljs-comment"># ...</span>
<span class="hljs-comment"># Resume and wait for deployment</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.resume()
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.wait()
<span class="hljs-meta">&gt;&gt;&gt; </span>endpoint.client.text_to_image(...)`,wrap:!1}}),{c(){f=i("p"),f.textContent=M,$=t(),u(x.$$.fragment)},l(E){f=o(E,"P",{"data-svelte-h":!0}),g(f)!=="svelte-11lpom8"&&(f.textContent=M),$=r(E),h(x.$$.fragment,E)},m(E,L){p(E,f,L),p(E,$,L),l(x,E,L),y=!0},p:Tt,i(E){y||(m(x.$$.fragment,E),y=!0)},o(E){_(x.$$.fragment,E),y=!1},d(E){E&&(a(f),a($)),b(x,E)}}}function Nt(be){let f,M,$,x,y,E,L,Jn='Hugging Face가 관리하는 추론 엔드포인트는 우리가 모델을 쉽고 안전하게 배포할 수 있게 해주는 도구입니다. 이러한 추론 엔드포인트는 <a href="https://huggingface.co/models" rel="nofollow">Hub</a>에 있는 모델을 기반으로 설계되었습니다. 이 문서는 <code>huggingface_hub</code>와 추론 엔드포인트 통합에 관한 참조 페이지이며, 더욱 자세한 정보는 <a href="https://huggingface.co/docs/inference-endpoints/index" rel="nofollow">공식 문서</a>를 통해 확인할 수 있습니다.',Oe,V,Be,O,Kn='추론 엔드포인트는 API로 쉽게 접근할 수 있습니다. 이 엔드포인트들은 <a href="https://api.endpoints.huggingface.cloud/" rel="nofollow">Swagger</a>를 통해 문서화되어 있고, <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint">InferenceEndpoint</a> 클래스는 이 API를 사용해 만든 간단한 래퍼입니다.',Qe,B,Ye,Q,et='다음과 같은 추론 엔드포인트의 기능이 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi">HfApi</a>안에 구현되어 있습니다:',Xe,Y,nt='<li><a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.get_inference_endpoint">get_inference_endpoint()</a>와 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.list_inference_endpoints">list_inference_endpoints()</a>를 사용해 엔드포인트 정보를 조회할 수 있습니다.</li> <li><a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.create_inference_endpoint">create_inference_endpoint()</a>, <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.update_inference_endpoint">update_inference_endpoint()</a>, <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.delete_inference_endpoint">delete_inference_endpoint()</a>로 엔드포인트를 배포하고 관리할 수 있습니다.</li> <li><a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.pause_inference_endpoint">pause_inference_endpoint()</a>와 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.resume_inference_endpoint">resume_inference_endpoint()</a>로 엔드포인트를 잠시 멈추거나 다시 시작할 수 있습니다.</li> <li><a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.scale_to_zero_inference_endpoint">scale_to_zero_inference_endpoint()</a>로 엔드포인트의 복제본을 0개로 설정할 수 있습니다.</li>',Je,X,Ke,J,tt='기본 데이터 클래스는 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint">InferenceEndpoint</a>입니다. 여기에는 구성 및 현재 상태를 가지고 있는 배포된 <code>InferenceEndpoint</code>에 대한 정보가 포함되어 있습니다. 배포 후에는 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.client">InferenceEndpoint.client</a>와 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.async_client">InferenceEndpoint.async_client</a>를 사용해 엔드포인트에서 추론 작업을 할 수 있고, 이때 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_client#huggingface_hub.InferenceClient">InferenceClient</a>와 <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_client#huggingface_hub.AsyncInferenceClient">AsyncInferenceClient</a> 객체를 반환합니다.',en,s,K,_n,Ee,rt="Contains information about a deployed Inference Endpoint.",bn,z,En,N,ee,$n,$e,at="Initialize object from raw dictionary.",In,S,ne,vn,Ie,it="Returns a client to make predictions on this Inference Endpoint.",xn,U,te,kn,ve,ot="Returns a client to make predictions on this Inference Endpoint.",yn,w,re,wn,xe,ct="Delete the Inference Endpoint.",Tn,ke,pt=`This operation is not reversible. If you don’t want to be charged for an Inference Endpoint, it is preferable
to pause it with <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.pause">InferenceEndpoint.pause()</a> or scale it to zero with <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.scale_to_zero">InferenceEndpoint.scale_to_zero()</a>.`,Cn,ye,st='This is an alias for <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.delete_inference_endpoint">HfApi.delete_inference_endpoint()</a>.',Hn,W,ae,Ln,we,gt="Fetch latest information about the Inference Endpoint.",Mn,T,ie,Pn,Te,dt="Pause the Inference Endpoint.",jn,Ce,ft=`A paused Inference Endpoint will not be charged. It can be resumed at any time using <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.resume">InferenceEndpoint.resume()</a>.
This is different than scaling the Inference Endpoint to zero with <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.scale_to_zero">InferenceEndpoint.scale_to_zero()</a>, which
would be automatically restarted when a request is made to it.`,An,He,ut=`This is an alias for <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.pause_inference_endpoint">HfApi.pause_inference_endpoint()</a>. The current object is mutated in place with the
latest data from the server.`,Dn,P,oe,qn,Le,ht="Resume the Inference Endpoint.",Vn,Me,lt=`This is an alias for <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.resume_inference_endpoint">HfApi.resume_inference_endpoint()</a>. The current object is mutated in place with the
latest data from the server.`,zn,C,ce,Nn,Pe,mt="Scale Inference Endpoint to zero.",Sn,je,_t=`An Inference Endpoint scaled to zero will not be charged. It will be resume on the next request to it, with a
cold start delay. This is different than pausing the Inference Endpoint with <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.pause">InferenceEndpoint.pause()</a>, which
would require a manual resume with <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint.resume">InferenceEndpoint.resume()</a>.`,Un,Ae,bt=`This is an alias for <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.scale_to_zero_inference_endpoint">HfApi.scale_to_zero_inference_endpoint()</a>. The current object is mutated in place with the
latest data from the server.`,Wn,H,pe,Rn,De,Et="Update the Inference Endpoint.",Gn,qe,$t=`This method allows the update of either the compute configuration, the deployed model, or both. All arguments are
optional but at least one must be provided.`,Zn,Ve,It=`This is an alias for <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/hf_api#huggingface_hub.HfApi.update_inference_endpoint">HfApi.update_inference_endpoint()</a>. The current object is mutated in place with the
latest data from the server.`,Fn,j,se,On,ze,vt="Wait for the Inference Endpoint to be deployed.",Bn,Ne,xt=`Information from the server will be fetched every 1s. If the Inference Endpoint is not deployed after <code>timeout</code>
seconds, a <code>InferenceEndpointTimeoutError</code> will be raised. The <a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint">InferenceEndpoint</a> will be mutated in place with the latest
data.`,nn,ge,tn,A,de,Qn,Se,kt="An enumeration.",rn,fe,an,D,ue,Yn,Ue,yt="An enumeration.",on,he,cn,q,le,Xn,We,wt="Generic exception when dealing with Inference Endpoints.",pn,me,sn,Fe,gn;return y=new Ze({props:{title:"추론 엔드포인트",local:"inference-endpoints",headingTag:"h1"}}),V=new jt({props:{$$slots:{default:[Vt]},$$scope:{ctx:be}}}),B=new Ze({props:{title:"매소드",local:"methods",headingTag:"h2"}}),X=new Ze({props:{title:"InferenceEndpoint",local:"huggingface_hub.InferenceEndpoint ][ huggingface_hub.InferenceEndpoint",headingTag:"h2"}}),K=new k({props:{name:"class huggingface_hub.InferenceEndpoint",anchor:"huggingface_hub.InferenceEndpoint",parameters:[{name:"namespace",val:": str"},{name:"raw",val:": Dict"},{name:"_token",val:": Union"},{name:"_api",val:": HfApi"}],parametersDescription:[{anchor:"huggingface_hub.InferenceEndpoint.name",description:`<strong>name</strong> (<code>str</code>) &#x2014;
The unique name of the Inference Endpoint.`,name:"name"},{anchor:"huggingface_hub.InferenceEndpoint.namespace",description:`<strong>namespace</strong> (<code>str</code>) &#x2014;
The namespace where the Inference Endpoint is located.`,name:"namespace"},{anchor:"huggingface_hub.InferenceEndpoint.repository",description:`<strong>repository</strong> (<code>str</code>) &#x2014;
The name of the model repository deployed on this Inference Endpoint.`,name:"repository"},{anchor:"huggingface_hub.InferenceEndpoint.status",description:`<strong>status</strong> (<a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointStatus">InferenceEndpointStatus</a>) &#x2014;
The current status of the Inference Endpoint.`,name:"status"},{anchor:"huggingface_hub.InferenceEndpoint.url",description:`<strong>url</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The URL of the Inference Endpoint, if available. Only a deployed Inference Endpoint will have a URL.`,name:"url"},{anchor:"huggingface_hub.InferenceEndpoint.framework",description:`<strong>framework</strong> (<code>str</code>) &#x2014;
The machine learning framework used for the model.`,name:"framework"},{anchor:"huggingface_hub.InferenceEndpoint.revision",description:`<strong>revision</strong> (<code>str</code>) &#x2014;
The specific model revision deployed on the Inference Endpoint.`,name:"revision"},{anchor:"huggingface_hub.InferenceEndpoint.task",description:`<strong>task</strong> (<code>str</code>) &#x2014;
The task associated with the deployed model.`,name:"task"},{anchor:"huggingface_hub.InferenceEndpoint.created_at",description:`<strong>created_at</strong> (<code>datetime.datetime</code>) &#x2014;
The timestamp when the Inference Endpoint was created.`,name:"created_at"},{anchor:"huggingface_hub.InferenceEndpoint.updated_at",description:`<strong>updated_at</strong> (<code>datetime.datetime</code>) &#x2014;
The timestamp of the last update of the Inference Endpoint.`,name:"updated_at"},{anchor:"huggingface_hub.InferenceEndpoint.type",description:`<strong>type</strong> (<a href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointType">InferenceEndpointType</a>) &#x2014;
The type of the Inference Endpoint (public, protected, private).`,name:"type"},{anchor:"huggingface_hub.InferenceEndpoint.raw",description:`<strong>raw</strong> (<code>Dict</code>) &#x2014;
The raw dictionary data returned from the API.`,name:"raw"},{anchor:"huggingface_hub.InferenceEndpoint.token",description:`<strong>token</strong> (<code>str</code> or <code>bool</code>, <em>optional</em>) &#x2014;
Authentication token for the Inference Endpoint, if set when requesting the API. Will default to the
locally saved token if not provided. Pass <code>token=False</code> if you don&#x2019;t want to send your token to the server.`,name:"token"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L38"}}),z=new Dt({props:{anchor:"huggingface_hub.InferenceEndpoint.example",$$slots:{default:[zt]},$$scope:{ctx:be}}}),ee=new k({props:{name:"from_raw",anchor:"huggingface_hub.InferenceEndpoint.from_raw",parameters:[{name:"raw",val:": Dict"},{name:"namespace",val:": str"},{name:"token",val:": Union = None"},{name:"api",val:": Optional = None"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L121"}}),ne=new k({props:{name:"client",anchor:"huggingface_hub.InferenceEndpoint.client",parameters:[],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L140",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>an inference client pointing to the deployed endpoint.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_client#huggingface_hub.InferenceClient"
>InferenceClient</a></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointError"
>InferenceEndpointError</a> — If the Inference Endpoint is not yet deployed.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointError"
>InferenceEndpointError</a></p>
`}}),te=new k({props:{name:"async_client",anchor:"huggingface_hub.InferenceEndpoint.async_client",parameters:[],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L157",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>an asyncio-compatible inference client pointing to the deployed endpoint.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_client#huggingface_hub.AsyncInferenceClient"
>AsyncInferenceClient</a></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointError"
>InferenceEndpointError</a> — If the Inference Endpoint is not yet deployed.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointError"
>InferenceEndpointError</a></p>
`}}),re=new k({props:{name:"delete",anchor:"huggingface_hub.InferenceEndpoint.delete",parameters:[],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L357"}}),ae=new k({props:{name:"fetch",anchor:"huggingface_hub.InferenceEndpoint.fetch",parameters:[],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L221",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>the same Inference Endpoint, mutated in place with the latest data.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint"
>InferenceEndpoint</a></p>
`}}),ie=new k({props:{name:"pause",anchor:"huggingface_hub.InferenceEndpoint.pause",parameters:[],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L300",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>the same Inference Endpoint, mutated in place with the latest data.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint"
>InferenceEndpoint</a></p>
`}}),oe=new k({props:{name:"resume",anchor:"huggingface_hub.InferenceEndpoint.resume",parameters:[{name:"running_ok",val:": bool = True"}],parametersDescription:[{anchor:"huggingface_hub.InferenceEndpoint.resume.running_ok",description:`<strong>running_ok</strong> (<code>bool</code>, <em>optional</em>) &#x2014;
If <code>True</code>, the method will not raise an error if the Inference Endpoint is already running. Defaults to
<code>True</code>.`,name:"running_ok"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L318",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>the same Inference Endpoint, mutated in place with the latest data.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint"
>InferenceEndpoint</a></p>
`}}),ce=new k({props:{name:"scale_to_zero",anchor:"huggingface_hub.InferenceEndpoint.scale_to_zero",parameters:[],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L339",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>the same Inference Endpoint, mutated in place with the latest data.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint"
>InferenceEndpoint</a></p>
`}}),pe=new k({props:{name:"update",anchor:"huggingface_hub.InferenceEndpoint.update",parameters:[{name:"accelerator",val:": Optional = None"},{name:"instance_size",val:": Optional = None"},{name:"instance_type",val:": Optional = None"},{name:"min_replica",val:": Optional = None"},{name:"max_replica",val:": Optional = None"},{name:"repository",val:": Optional = None"},{name:"framework",val:": Optional = None"},{name:"revision",val:": Optional = None"},{name:"task",val:": Optional = None"}],parametersDescription:[{anchor:"huggingface_hub.InferenceEndpoint.update.accelerator",description:`<strong>accelerator</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The hardware accelerator to be used for inference (e.g. <code>&quot;cpu&quot;</code>).`,name:"accelerator"},{anchor:"huggingface_hub.InferenceEndpoint.update.instance_size",description:`<strong>instance_size</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The size or type of the instance to be used for hosting the model (e.g. <code>&quot;x4&quot;</code>).`,name:"instance_size"},{anchor:"huggingface_hub.InferenceEndpoint.update.instance_type",description:`<strong>instance_type</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The cloud instance type where the Inference Endpoint will be deployed (e.g. <code>&quot;intel-icl&quot;</code>).`,name:"instance_type"},{anchor:"huggingface_hub.InferenceEndpoint.update.min_replica",description:`<strong>min_replica</strong> (<code>int</code>, <em>optional</em>) &#x2014;
The minimum number of replicas (instances) to keep running for the Inference Endpoint.`,name:"min_replica"},{anchor:"huggingface_hub.InferenceEndpoint.update.max_replica",description:`<strong>max_replica</strong> (<code>int</code>, <em>optional</em>) &#x2014;
The maximum number of replicas (instances) to scale to for the Inference Endpoint.`,name:"max_replica"},{anchor:"huggingface_hub.InferenceEndpoint.update.repository",description:`<strong>repository</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The name of the model repository associated with the Inference Endpoint (e.g. <code>&quot;gpt2&quot;</code>).`,name:"repository"},{anchor:"huggingface_hub.InferenceEndpoint.update.framework",description:`<strong>framework</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The machine learning framework used for the model (e.g. <code>&quot;custom&quot;</code>).`,name:"framework"},{anchor:"huggingface_hub.InferenceEndpoint.update.revision",description:`<strong>revision</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The specific model revision to deploy on the Inference Endpoint (e.g. <code>&quot;6c0e6080953db56375760c0471a8c5f2929baf11&quot;</code>).`,name:"revision"},{anchor:"huggingface_hub.InferenceEndpoint.update.task",description:`<strong>task</strong> (<code>str</code>, <em>optional</em>) &#x2014;
The task on which to deploy the model (e.g. <code>&quot;text-classification&quot;</code>).`,name:"task"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L232",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>the same Inference Endpoint, mutated in place with the latest data.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint"
>InferenceEndpoint</a></p>
`}}),se=new k({props:{name:"wait",anchor:"huggingface_hub.InferenceEndpoint.wait",parameters:[{name:"timeout",val:": Optional = None"},{name:"refresh_every",val:": int = 5"}],parametersDescription:[{anchor:"huggingface_hub.InferenceEndpoint.wait.timeout",description:`<strong>timeout</strong> (<code>int</code>, <em>optional</em>) &#x2014;
The maximum time to wait for the Inference Endpoint to be deployed, in seconds. If <code>None</code>, will wait
indefinitely.`,name:"timeout"},{anchor:"huggingface_hub.InferenceEndpoint.wait.refresh_every",description:`<strong>refresh_every</strong> (<code>int</code>, <em>optional</em>) &#x2014;
The time to wait between each fetch of the Inference Endpoint status, in seconds. Defaults to 5s.`,name:"refresh_every"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L174",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>the same Inference Endpoint, mutated in place with the latest data.</p>
`,returnType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpoint"
>InferenceEndpoint</a></p>
`,raiseDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<ul>
<li><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointError"
>InferenceEndpointError</a> —
If the Inference Endpoint ended up in a failed state.</li>
<li><code>InferenceEndpointTimeoutError</code> —
If the Inference Endpoint is not deployed after <code>timeout</code> seconds.</li>
</ul>
`,raiseType:`<script context="module">export const metadata = 'undefined';<\/script>


<p><a
  href="/docs/huggingface_hub/pr_2413/ko/package_reference/inference_endpoints#huggingface_hub.InferenceEndpointError"
>InferenceEndpointError</a> or <code>InferenceEndpointTimeoutError</code></p>
`}}),ge=new Ze({props:{title:"InferenceEndpointStatus",local:"huggingface_hub.InferenceEndpointStatus ][ huggingface_hub.InferenceEndpointStatus",headingTag:"h2"}}),de=new k({props:{name:"class huggingface_hub.InferenceEndpointStatus",anchor:"huggingface_hub.InferenceEndpointStatus",parameters:[{name:"value",val:""},{name:"names",val:" = None"},{name:"module",val:" = None"},{name:"qualname",val:" = None"},{name:"type",val:" = None"},{name:"start",val:" = 1"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L21"}}),fe=new Ze({props:{title:"InferenceEndpointType",local:"huggingface_hub.InferenceEndpointType ][ huggingface_hub.InferenceEndpointType",headingTag:"h2"}}),ue=new k({props:{name:"class huggingface_hub.InferenceEndpointType",anchor:"huggingface_hub.InferenceEndpointType",parameters:[{name:"value",val:""},{name:"names",val:" = None"},{name:"module",val:" = None"},{name:"qualname",val:" = None"},{name:"type",val:" = None"},{name:"start",val:" = 1"}],source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/_inference_endpoints.py#L32"}}),he=new Ze({props:{title:"InferenceEndpointError",local:"huggingface_hub.InferenceEndpointError ][ huggingface_hub.InferenceEndpointError",headingTag:"h2"}}),le=new k({props:{name:"class huggingface_hub.InferenceEndpointError",anchor:"huggingface_hub.InferenceEndpointError",parameters:"",source:"https://github.com/huggingface/huggingface_hub/blob/vr_2413/src/huggingface_hub/errors.py#L30"}}),me=new qt({props:{source:"https://github.com/huggingface/huggingface_hub/blob/main/docs/source/ko/package_reference/inference_endpoints.md"}}),{c(){f=i("meta"),M=t(),$=i("p"),x=t(),u(y.$$.fragment),E=t(),L=i("p"),L.innerHTML=Jn,Oe=t(),u(V.$$.fragment),Be=t(),O=i("p"),O.innerHTML=Kn,Qe=t(),u(B.$$.fragment),Ye=t(),Q=i("p"),Q.innerHTML=et,Xe=t(),Y=i("ul"),Y.innerHTML=nt,Je=t(),u(X.$$.fragment),Ke=t(),J=i("p"),J.innerHTML=tt,en=t(),s=i("div"),u(K.$$.fragment),_n=t(),Ee=i("p"),Ee.textContent=rt,bn=t(),u(z.$$.fragment),En=t(),N=i("div"),u(ee.$$.fragment),$n=t(),$e=i("p"),$e.textContent=at,In=t(),S=i("div"),u(ne.$$.fragment),vn=t(),Ie=i("p"),Ie.textContent=it,xn=t(),U=i("div"),u(te.$$.fragment),kn=t(),ve=i("p"),ve.textContent=ot,yn=t(),w=i("div"),u(re.$$.fragment),wn=t(),xe=i("p"),xe.textContent=ct,Tn=t(),ke=i("p"),ke.innerHTML=pt,Cn=t(),ye=i("p"),ye.innerHTML=st,Hn=t(),W=i("div"),u(ae.$$.fragment),Ln=t(),we=i("p"),we.textContent=gt,Mn=t(),T=i("div"),u(ie.$$.fragment),Pn=t(),Te=i("p"),Te.textContent=dt,jn=t(),Ce=i("p"),Ce.innerHTML=ft,An=t(),He=i("p"),He.innerHTML=ut,Dn=t(),P=i("div"),u(oe.$$.fragment),qn=t(),Le=i("p"),Le.textContent=ht,Vn=t(),Me=i("p"),Me.innerHTML=lt,zn=t(),C=i("div"),u(ce.$$.fragment),Nn=t(),Pe=i("p"),Pe.textContent=mt,Sn=t(),je=i("p"),je.innerHTML=_t,Un=t(),Ae=i("p"),Ae.innerHTML=bt,Wn=t(),H=i("div"),u(pe.$$.fragment),Rn=t(),De=i("p"),De.textContent=Et,Gn=t(),qe=i("p"),qe.textContent=$t,Zn=t(),Ve=i("p"),Ve.innerHTML=It,Fn=t(),j=i("div"),u(se.$$.fragment),On=t(),ze=i("p"),ze.textContent=vt,Bn=t(),Ne=i("p"),Ne.innerHTML=xt,nn=t(),u(ge.$$.fragment),tn=t(),A=i("div"),u(de.$$.fragment),Qn=t(),Se=i("p"),Se.textContent=kt,rn=t(),u(fe.$$.fragment),an=t(),D=i("div"),u(ue.$$.fragment),Yn=t(),Ue=i("p"),Ue.textContent=yt,on=t(),u(he.$$.fragment),cn=t(),q=i("div"),u(le.$$.fragment),Xn=t(),We=i("p"),We.textContent=wt,pn=t(),u(me.$$.fragment),sn=t(),Fe=i("p"),this.h()},l(e){const c=Pt("svelte-u9bgzb",document.head);f=o(c,"META",{name:!0,content:!0}),c.forEach(a),M=r(e),$=o(e,"P",{}),I($).forEach(a),x=r(e),h(y.$$.fragment,e),E=r(e),L=o(e,"P",{"data-svelte-h":!0}),g(L)!=="svelte-15613l9"&&(L.innerHTML=Jn),Oe=r(e),h(V.$$.fragment,e),Be=r(e),O=o(e,"P",{"data-svelte-h":!0}),g(O)!=="svelte-1fuyckm"&&(O.innerHTML=Kn),Qe=r(e),h(B.$$.fragment,e),Ye=r(e),Q=o(e,"P",{"data-svelte-h":!0}),g(Q)!=="svelte-1dxty2y"&&(Q.innerHTML=et),Xe=r(e),Y=o(e,"UL",{"data-svelte-h":!0}),g(Y)!=="svelte-12lkhab"&&(Y.innerHTML=nt),Je=r(e),h(X.$$.fragment,e),Ke=r(e),J=o(e,"P",{"data-svelte-h":!0}),g(J)!=="svelte-rb4ocu"&&(J.innerHTML=tt),en=r(e),s=o(e,"DIV",{class:!0});var d=I(s);h(K.$$.fragment,d),_n=r(d),Ee=o(d,"P",{"data-svelte-h":!0}),g(Ee)!=="svelte-1bmjqnv"&&(Ee.textContent=rt),bn=r(d),h(z.$$.fragment,d),En=r(d),N=o(d,"DIV",{class:!0});var _e=I(N);h(ee.$$.fragment,_e),$n=r(_e),$e=o(_e,"P",{"data-svelte-h":!0}),g($e)!=="svelte-gljdbx"&&($e.textContent=at),_e.forEach(a),In=r(d),S=o(d,"DIV",{class:!0});var dn=I(S);h(ne.$$.fragment,dn),vn=r(dn),Ie=o(dn,"P",{"data-svelte-h":!0}),g(Ie)!=="svelte-jw5rtn"&&(Ie.textContent=it),dn.forEach(a),xn=r(d),U=o(d,"DIV",{class:!0});var fn=I(U);h(te.$$.fragment,fn),kn=r(fn),ve=o(fn,"P",{"data-svelte-h":!0}),g(ve)!=="svelte-jw5rtn"&&(ve.textContent=ot),fn.forEach(a),yn=r(d),w=o(d,"DIV",{class:!0});var R=I(w);h(re.$$.fragment,R),wn=r(R),xe=o(R,"P",{"data-svelte-h":!0}),g(xe)!=="svelte-1awp4uu"&&(xe.textContent=ct),Tn=r(R),ke=o(R,"P",{"data-svelte-h":!0}),g(ke)!=="svelte-193rmjt"&&(ke.innerHTML=pt),Cn=r(R),ye=o(R,"P",{"data-svelte-h":!0}),g(ye)!=="svelte-1b1cx7e"&&(ye.innerHTML=st),R.forEach(a),Hn=r(d),W=o(d,"DIV",{class:!0});var un=I(W);h(ae.$$.fragment,un),Ln=r(un),we=o(un,"P",{"data-svelte-h":!0}),g(we)!=="svelte-1dh96nb"&&(we.textContent=gt),un.forEach(a),Mn=r(d),T=o(d,"DIV",{class:!0});var G=I(T);h(ie.$$.fragment,G),Pn=r(G),Te=o(G,"P",{"data-svelte-h":!0}),g(Te)!=="svelte-1bfttgz"&&(Te.textContent=dt),jn=r(G),Ce=o(G,"P",{"data-svelte-h":!0}),g(Ce)!=="svelte-12y0xdo"&&(Ce.innerHTML=ft),An=r(G),He=o(G,"P",{"data-svelte-h":!0}),g(He)!=="svelte-3u0icp"&&(He.innerHTML=ut),G.forEach(a),Dn=r(d),P=o(d,"DIV",{class:!0});var Re=I(P);h(oe.$$.fragment,Re),qn=r(Re),Le=o(Re,"P",{"data-svelte-h":!0}),g(Le)!=="svelte-akp3j2"&&(Le.textContent=ht),Vn=r(Re),Me=o(Re,"P",{"data-svelte-h":!0}),g(Me)!=="svelte-f7w0m9"&&(Me.innerHTML=lt),Re.forEach(a),zn=r(d),C=o(d,"DIV",{class:!0});var Z=I(C);h(ce.$$.fragment,Z),Nn=r(Z),Pe=o(Z,"P",{"data-svelte-h":!0}),g(Pe)!=="svelte-6vx93v"&&(Pe.textContent=mt),Sn=r(Z),je=o(Z,"P",{"data-svelte-h":!0}),g(je)!=="svelte-16ozc16"&&(je.innerHTML=_t),Un=r(Z),Ae=o(Z,"P",{"data-svelte-h":!0}),g(Ae)!=="svelte-11wl63j"&&(Ae.innerHTML=bt),Z.forEach(a),Wn=r(d),H=o(d,"DIV",{class:!0});var F=I(H);h(pe.$$.fragment,F),Rn=r(F),De=o(F,"P",{"data-svelte-h":!0}),g(De)!=="svelte-16hllis"&&(De.textContent=Et),Gn=r(F),qe=o(F,"P",{"data-svelte-h":!0}),g(qe)!=="svelte-llxqqu"&&(qe.textContent=$t),Zn=r(F),Ve=o(F,"P",{"data-svelte-h":!0}),g(Ve)!=="svelte-1nghyg5"&&(Ve.innerHTML=It),F.forEach(a),Fn=r(d),j=o(d,"DIV",{class:!0});var Ge=I(j);h(se.$$.fragment,Ge),On=r(Ge),ze=o(Ge,"P",{"data-svelte-h":!0}),g(ze)!=="svelte-15saqtl"&&(ze.textContent=vt),Bn=r(Ge),Ne=o(Ge,"P",{"data-svelte-h":!0}),g(Ne)!=="svelte-1oxj3nr"&&(Ne.innerHTML=xt),Ge.forEach(a),d.forEach(a),nn=r(e),h(ge.$$.fragment,e),tn=r(e),A=o(e,"DIV",{class:!0});var hn=I(A);h(de.$$.fragment,hn),Qn=r(hn),Se=o(hn,"P",{"data-svelte-h":!0}),g(Se)!=="svelte-ofujqi"&&(Se.textContent=kt),hn.forEach(a),rn=r(e),h(fe.$$.fragment,e),an=r(e),D=o(e,"DIV",{class:!0});var ln=I(D);h(ue.$$.fragment,ln),Yn=r(ln),Ue=o(ln,"P",{"data-svelte-h":!0}),g(Ue)!=="svelte-ofujqi"&&(Ue.textContent=yt),ln.forEach(a),on=r(e),h(he.$$.fragment,e),cn=r(e),q=o(e,"DIV",{class:!0});var mn=I(q);h(le.$$.fragment,mn),Xn=r(mn),We=o(mn,"P",{"data-svelte-h":!0}),g(We)!=="svelte-dy4pdd"&&(We.textContent=wt),mn.forEach(a),pn=r(e),h(me.$$.fragment,e),sn=r(e),Fe=o(e,"P",{}),I(Fe).forEach(a),this.h()},h(){v(f,"name","hf:doc:metadata"),v(f,"content",St),v(N,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(S,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(U,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(w,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(W,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(T,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(P,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(C,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(H,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(j,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(s,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(A,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(D,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8"),v(q,"class","docstring border-l-2 border-t-2 pl-4 pt-3.5 border-gray-100 rounded-tl-xl mb-6 mt-8")},m(e,c){n(document.head,f),p(e,M,c),p(e,$,c),p(e,x,c),l(y,e,c),p(e,E,c),p(e,L,c),p(e,Oe,c),l(V,e,c),p(e,Be,c),p(e,O,c),p(e,Qe,c),l(B,e,c),p(e,Ye,c),p(e,Q,c),p(e,Xe,c),p(e,Y,c),p(e,Je,c),l(X,e,c),p(e,Ke,c),p(e,J,c),p(e,en,c),p(e,s,c),l(K,s,null),n(s,_n),n(s,Ee),n(s,bn),l(z,s,null),n(s,En),n(s,N),l(ee,N,null),n(N,$n),n(N,$e),n(s,In),n(s,S),l(ne,S,null),n(S,vn),n(S,Ie),n(s,xn),n(s,U),l(te,U,null),n(U,kn),n(U,ve),n(s,yn),n(s,w),l(re,w,null),n(w,wn),n(w,xe),n(w,Tn),n(w,ke),n(w,Cn),n(w,ye),n(s,Hn),n(s,W),l(ae,W,null),n(W,Ln),n(W,we),n(s,Mn),n(s,T),l(ie,T,null),n(T,Pn),n(T,Te),n(T,jn),n(T,Ce),n(T,An),n(T,He),n(s,Dn),n(s,P),l(oe,P,null),n(P,qn),n(P,Le),n(P,Vn),n(P,Me),n(s,zn),n(s,C),l(ce,C,null),n(C,Nn),n(C,Pe),n(C,Sn),n(C,je),n(C,Un),n(C,Ae),n(s,Wn),n(s,H),l(pe,H,null),n(H,Rn),n(H,De),n(H,Gn),n(H,qe),n(H,Zn),n(H,Ve),n(s,Fn),n(s,j),l(se,j,null),n(j,On),n(j,ze),n(j,Bn),n(j,Ne),p(e,nn,c),l(ge,e,c),p(e,tn,c),p(e,A,c),l(de,A,null),n(A,Qn),n(A,Se),p(e,rn,c),l(fe,e,c),p(e,an,c),p(e,D,c),l(ue,D,null),n(D,Yn),n(D,Ue),p(e,on,c),l(he,e,c),p(e,cn,c),p(e,q,c),l(le,q,null),n(q,Xn),n(q,We),p(e,pn,c),l(me,e,c),p(e,sn,c),p(e,Fe,c),gn=!0},p(e,[c]){const d={};c&2&&(d.$$scope={dirty:c,ctx:e}),V.$set(d);const _e={};c&2&&(_e.$$scope={dirty:c,ctx:e}),z.$set(_e)},i(e){gn||(m(y.$$.fragment,e),m(V.$$.fragment,e),m(B.$$.fragment,e),m(X.$$.fragment,e),m(K.$$.fragment,e),m(z.$$.fragment,e),m(ee.$$.fragment,e),m(ne.$$.fragment,e),m(te.$$.fragment,e),m(re.$$.fragment,e),m(ae.$$.fragment,e),m(ie.$$.fragment,e),m(oe.$$.fragment,e),m(ce.$$.fragment,e),m(pe.$$.fragment,e),m(se.$$.fragment,e),m(ge.$$.fragment,e),m(de.$$.fragment,e),m(fe.$$.fragment,e),m(ue.$$.fragment,e),m(he.$$.fragment,e),m(le.$$.fragment,e),m(me.$$.fragment,e),gn=!0)},o(e){_(y.$$.fragment,e),_(V.$$.fragment,e),_(B.$$.fragment,e),_(X.$$.fragment,e),_(K.$$.fragment,e),_(z.$$.fragment,e),_(ee.$$.fragment,e),_(ne.$$.fragment,e),_(te.$$.fragment,e),_(re.$$.fragment,e),_(ae.$$.fragment,e),_(ie.$$.fragment,e),_(oe.$$.fragment,e),_(ce.$$.fragment,e),_(pe.$$.fragment,e),_(se.$$.fragment,e),_(ge.$$.fragment,e),_(de.$$.fragment,e),_(fe.$$.fragment,e),_(ue.$$.fragment,e),_(he.$$.fragment,e),_(le.$$.fragment,e),_(me.$$.fragment,e),gn=!1},d(e){e&&(a(M),a($),a(x),a(E),a(L),a(Oe),a(Be),a(O),a(Qe),a(Ye),a(Q),a(Xe),a(Y),a(Je),a(Ke),a(J),a(en),a(s),a(nn),a(tn),a(A),a(rn),a(an),a(D),a(on),a(cn),a(q),a(pn),a(sn),a(Fe)),a(f),b(y,e),b(V,e),b(B,e),b(X,e),b(K),b(z),b(ee),b(ne),b(te),b(re),b(ae),b(ie),b(oe),b(ce),b(pe),b(se),b(ge,e),b(de),b(fe,e),b(ue),b(he,e),b(le),b(me,e)}}}const St='{"title":"추론 엔드포인트","local":"inference-endpoints","sections":[{"title":"매소드","local":"methods","sections":[],"depth":2},{"title":"InferenceEndpoint","local":"huggingface_hub.InferenceEndpoint ][ huggingface_hub.InferenceEndpoint","sections":[],"depth":2},{"title":"InferenceEndpointStatus","local":"huggingface_hub.InferenceEndpointStatus ][ huggingface_hub.InferenceEndpointStatus","sections":[],"depth":2},{"title":"InferenceEndpointType","local":"huggingface_hub.InferenceEndpointType ][ huggingface_hub.InferenceEndpointType","sections":[],"depth":2},{"title":"InferenceEndpointError","local":"huggingface_hub.InferenceEndpointError ][ huggingface_hub.InferenceEndpointError","sections":[],"depth":2}],"depth":1}';function Ut(be){return Ht(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class Qt extends Lt{constructor(f){super(),Mt(this,f,Ut,Nt,Ct,{})}}export{Qt as component};
