Buckets:

rtrm's picture
download
raw
3.46 kB
import{s as B,f as D,n as J,o as K}from"../chunks/scheduler.389d799c.js";import{S as N,i as Q,g,s as a,r as H,A as V,h,f as s,c as i,j as Y,u as I,x as G,k as _,y as X,a as n,v as z,d as L,t as S,w as F}from"../chunks/index.8f81d18f.js";import{H as U,E as Z}from"../chunks/getInferenceSnippets.8efa8e08.js";function ee(j){let r,w,$,y,o,P,l,k="Hugging Face Endpoints provides access to the metrics and analytics of your Endpoints through the UI on the detailed overview in the “Analytics” tab of your Endpoints.",q,c,O,x,m,b,u,R='The Hugging Face Inference Endpoints API exposes a <a href="/docs/inference-endpoints/api_reference#getendpointmetrics">route to access the metrics</a> of your Endpoints. You can use this route to send customized Prometheus queries to your Endpoints.',E,p,A,d,W="Pending requests are requests that don’t have a response status yet. We now display analytics on requests that have been sent to your model, but are still being processed.",M,f,C,v,T;return o=new U({props:{title:"Access and view Metrics",local:"access-and-view-metrics",headingTag:"h1"}}),m=new U({props:{title:"Access Metrics via API",local:"access-metrics-via-api",headingTag:"h2"}}),p=new U({props:{title:"Pending requests - new!",local:"pending-requests---new",headingTag:"h3"}}),f=new Z({props:{source:"https://github.com/huggingface/hf-endpoints-documentation/blob/main/docs/source/guides/metrics.mdx"}}),{c(){r=g("meta"),w=a(),$=g("p"),y=a(),H(o.$$.fragment),P=a(),l=g("p"),l.textContent=k,q=a(),c=g("img"),x=a(),H(m.$$.fragment),b=a(),u=g("p"),u.innerHTML=R,E=a(),H(p.$$.fragment),A=a(),d=g("p"),d.textContent=W,M=a(),H(f.$$.fragment),C=a(),v=g("p"),this.h()},l(e){const t=V("svelte-u9bgzb",document.head);r=h(t,"META",{name:!0,content:!0}),t.forEach(s),w=i(e),$=h(e,"P",{}),Y($).forEach(s),y=i(e),I(o.$$.fragment,e),P=i(e),l=h(e,"P",{"data-svelte-h":!0}),G(l)!=="svelte-cqmgqz"&&(l.textContent=k),q=i(e),c=h(e,"IMG",{src:!0,alt:!0,"view”":!0}),x=i(e),I(m.$$.fragment,e),b=i(e),u=h(e,"P",{"data-svelte-h":!0}),G(u)!=="svelte-1y0cbq9"&&(u.innerHTML=R),E=i(e),I(p.$$.fragment,e),A=i(e),d=h(e,"P",{"data-svelte-h":!0}),G(d)!=="svelte-13qm61x"&&(d.textContent=W),M=i(e),I(f.$$.fragment,e),C=i(e),v=h(e,"P",{}),Y(v).forEach(s),this.h()},h(){_(r,"name","hf:doc:metadata"),_(r,"content",te),D(c.src,O="https://raw.githubusercontent.com/huggingface/hf-endpoints-documentation/main/assets/analytics-update.png")||_(c,"src",O),_(c,"alt","“analytics"),_(c,"view”","")},m(e,t){X(document.head,r),n(e,w,t),n(e,$,t),n(e,y,t),z(o,e,t),n(e,P,t),n(e,l,t),n(e,q,t),n(e,c,t),n(e,x,t),z(m,e,t),n(e,b,t),n(e,u,t),n(e,E,t),z(p,e,t),n(e,A,t),n(e,d,t),n(e,M,t),z(f,e,t),n(e,C,t),n(e,v,t),T=!0},p:J,i(e){T||(L(o.$$.fragment,e),L(m.$$.fragment,e),L(p.$$.fragment,e),L(f.$$.fragment,e),T=!0)},o(e){S(o.$$.fragment,e),S(m.$$.fragment,e),S(p.$$.fragment,e),S(f.$$.fragment,e),T=!1},d(e){e&&(s(w),s($),s(y),s(P),s(l),s(q),s(c),s(x),s(b),s(u),s(E),s(A),s(d),s(M),s(C),s(v)),s(r),F(o,e),F(m,e),F(p,e),F(f,e)}}}const te='{"title":"Access and view Metrics","local":"access-and-view-metrics","sections":[{"title":"Access Metrics via API","local":"access-metrics-via-api","sections":[{"title":"Pending requests - new!","local":"pending-requests---new","sections":[],"depth":3}],"depth":2}],"depth":1}';function se(j){return K(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class re extends N{constructor(r){super(),Q(this,r,se,ee,B,{})}}export{re as component};

Xet Storage Details

Size:
3.46 kB
·
Xet hash:
1a5686a6cbeb7ab931e0151cd74e5e8dbc8d32e1d6d6683afdad8bbcfcb4b27c

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.