import{s as ut,n as Mt,o as rt}from"../chunks/scheduler.aec39e6a.js";import{S as jt,i as Tt,e as i,s as e,c,h as dt,a as p,d as l,b as a,f as ot,g as u,j as o,k as ct,l as ht,m as n,n as M,t as r,o as j,p as T}from"../chunks/index.4ee0a2d0.js";import{C as mt,H as Vs,E as Jt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.8184f5a3.js";import{C as d}from"../chunks/CodeBlock.db6247f1.js";function yt(Ss){let h,ts,K,ls,m,ns,J,es,y,as,I,xs='The <a href="https://github.com/aws/sagemaker-huggingface-inference-toolkit/tree/main" rel="nofollow">Sagemaker Hugging Face Inference Toolkit</a> accepts inputs in the <code>inputs</code> key, and supports additional <a href="https://huggingface.co/docs/transformers/main_classes/pipelines" rel="nofollow"><code>pipelines</code></a> parameters in the <code>parameters</code> key. You can provide any of the supported <code>kwargs</code> from <code>pipelines</code> as <code>parameters</code>.',is,w,Qs="Tasks supported by the Inference Toolkit API include:",ps,f,As="<li><strong><code>text-classification</code></strong></li> <li><strong><code>sentiment-analysis</code></strong></li> <li><strong><code>token-classification</code></strong></li> <li><strong><code>feature-extraction</code></strong></li> <li><strong><code>fill-mask</code></strong></li> <li><strong><code>summarization</code></strong></li> <li><strong><code>translation_xx_to_yy</code></strong></li> <li><strong><code>text2text-generation</code></strong></li> <li><strong><code>text-generation</code></strong></li> <li><strong><code>audio-classificatin</code></strong></li> <li><strong><code>automatic-speech-recognition</code></strong></li> <li><strong><code>conversational</code></strong></li> <li><strong><code>image-classification</code></strong></li> <li><strong><code>image-segmentation</code></strong></li> <li><strong><code>object-detection</code></strong></li> <li><strong><code>table-question-answering</code></strong></li> <li><strong><code>zero-shot-classification</code></strong></li> <li><strong><code>zero-shot-image-classification</code></strong></li>",os,g,Ys="See the following request examples for some of the tasks:",cs,U,Fs="<strong><code>text-classification</code></strong>",us,$,Ms,b,Ls="<strong><code>sentiment-analysis</code></strong>",rs,B,js,q,zs="<strong><code>token-classification</code></strong>",Ts,v,ds,k,Rs="<strong><code>question-answering</code></strong>",hs,E,ms,X,Ps="<strong><code>zero-shot-classification</code></strong>",Js,W,ys,H,Ds="<strong><code>table-question-answering</code></strong>",Is,C,ws,Z,Os="<strong><code>parameterized-request</code></strong>",fs,G,gs,N,Us,_,Ks="The Inference Toolkit implements various additional environment variables to simplify deployment. A complete list of Hugging Face specific environment variables is shown below:",$s,V,st="<strong><code>HF_TASK</code></strong>",bs,S,tt='<code>HF_TASK</code> defines the task for the 🤗 Transformers pipeline used . See <a href="https://huggingface.co/docs/transformers/main_classes/pipelines" rel="nofollow">here</a> for a complete list of tasks.',Bs,x,qs,Q,lt="<strong><code>HF_MODEL_ID</code></strong>",vs,A,nt='<code>HF_MODEL_ID</code> defines the model ID which is automatically loaded from <a href="https://huggingface.co/models" rel="nofollow">hf.co/models</a> when creating a SageMaker endpoint. All of the 🤗 Hub’s 10,000+ models are available through this environment variable.',ks,Y,Es,F,et="<strong><code>HF_MODEL_REVISION</code></strong>",Xs,L,at="<code>HF_MODEL_REVISION</code> is an extension to <code>HF_MODEL_ID</code> and allows you to define or pin a model revision to make sure you always load the same model on your SageMaker endpoint.",Ws,z,Hs,R,it="<strong><code>HF_API_TOKEN</code></strong>",Cs,P,pt='<code>HF_API_TOKEN</code> defines your Hugging Face authorization token. The <code>HF_API_TOKEN</code> is used as a HTTP bearer authorization for remote files like private models. You can find your token under <a href="https://huggingface.co/settings/tokens" rel="nofollow">Settings</a> of your Hugging Face account.',Zs,D,Gs,O,Ns,ss,_s;return m=new mt({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),J=new Vs({props:{title:"Inference Toolkit API",local:"inference-toolkit-api",headingTag:"h1"}}),y=new Vs({props:{title:"Supported tasks",local:"supported-tasks",headingTag:"h2"}}),$=new d({props:{code:"JTdCJTBBJTIwJTIwJTIyaW5wdXRzJTIyJTNBJTIwJTIyVGhpcyUyMHNvdW5kJTIwdHJhY2slMjB3YXMlMjBiZWF1dGlmdWwhJTIwSXQlMjBwYWludHMlMjB0aGUlMjBzZW5lcnklMjBpbiUyMHlvdXIlMjBtaW5kJTIwc28lMjB3ZWxsJTIwSSUyMHdvdWxkJTIwcmVjb21tZW5kJTIwaXQlMEElMjAlMjBldmVuJTIwdG8lMjBwZW9wbGUlMjB3aG8lMjBoYXRlJTIwdmlkLiUyMGdhbWUlMjBtdXNpYyElMjIlMEElN0Q=",highlighted:`<span class="hljs-punctuation">{</span>
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