import{S as xo,i as Io,s as Zo,e as t,k as i,w as u,t as c,M as Eo,c as n,d as l,m as o,a as e,x as y,h,b as m,G as a,g as r,y as j,L as _o,q as f,o as M,B as J,v as ko}from"../chunks/vendor-hf-doc-builder.js";import{I as g}from"../chunks/IconCopyLink-hf-doc-builder.js";import{C as U}from"../chunks/CodeBlock-hf-doc-builder.js";function Bo(gr){let T,Xa,x,Q,Nl,Us,zn,Gl,Yn,Pa,sl,Xn,Fa,ll,Pn,La,al,Fn,Da,I,z,Cl,ws,Ln,ql,Dn,Ka,tl,Kn,Oa,nl,On,st,Z,Y,Hl,bs,se,Vl,le,lt,el,ae,at,pl,te,tt,w,Rl,ne,ee,Sl,pe,re,Al,ie,oe,Ql,ce,nt,ds,et,E,X,zl,vs,he,Yl,me,pt,rl,ue,rt,il,ye,it,Ts,ot,_,P,Xl,xs,je,Pl,fe,ct,F,Me,ol,Je,ge,ht,cl,Ue,mt,L,Fl,Ll,we,be,Dl,Is,de,Kl,ve,Te,ut,k,D,Ol,Zs,xe,sa,Ie,yt,hl,Ze,jt,ml,Ee,ft,b,la,_e,ke,aa,Be,$e,ta,We,Ne,na,Ge,Mt,Es,Jt,B,K,ea,_s,Ce,pa,qe,gt,ul,He,Ut,yl,Ve,wt,d,ra,Re,Se,ia,Ae,Qe,oa,ze,bt,ks,dt,$,O,ca,Bs,Ye,ha,Xe,vt,jl,Pe,Tt,fl,Fe,xt,ss,ma,Le,De,$s,Ke,ua,Oe,sp,It,Ml,lp,Zt,Ws,Et,W,ls,ya,Ns,ap,ja,tp,_t,Jl,np,kt,gl,ep,Bt,as,fa,pp,rp,Ma,ip,$t,Gs,Wt,N,ts,Ja,Cs,op,ga,cp,Nt,Ul,hp,Gt,G,ns,Ua,qs,mp,wa,up,Ct,wl,yp,qt,es,C,jp,ba,fp,Mp,da,Jp,gp,Up,va,wp,Ht,Hs,Vt,q,ps,Ta,Vs,bp,xa,dp,Rt,rs,vp,bl,Tp,xp,St,dl,Ip,At,is,Ia,Zp,Ep,Za,_p,Qt,Rs,zt,H,os,Ea,Ss,kp,_a,Bp,Yt,vl,$p,Xt,Tl,Wp,Pt,cs,ka,Np,Gp,V,Cp,Ba,qp,Hp,$a,Vp,Rp,Ft,As,Lt,R,hs,Wa,Qs,Sp,Na,Ap,Dt,ms,Qp,Ga,zp,Yp,Kt,xl,Xp,Ot,us,Ca,Pp,Fp,zs,Lp,qa,Dp,Kp,sn,Ys,ln,S,ys,Ha,Xs,Op,Va,sr,an,js,lr,Ra,ar,tr,tn,Il,nr,nn,Ps,en,A,fs,Sa,Fs,er,Aa,pr,pn,Zl,rr,rn,El,ir,on,Ms,Ls,Qa,or,cr,Ds,hr,Ks,za,mr,ur,Os,cn,v,yr,_l,jr,fr,Ya,Mr,Jr,hn;return Us=new g({}),ws=new g({}),bs=new g({}),ds=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>classifier = pipeline(task=<span class="hljs-string">&quot;audio-classification&quot;</span>, model=<span class="hljs-string">&quot;superb/hubert-base-superb-er&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = classifier(<span class="hljs-string">&quot;https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [{<span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>), <span class="hljs-string">&quot;label&quot;</span>: pred[<span class="hljs-string">&quot;label&quot;</span>]} <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds]
<span class="hljs-meta">&gt;&gt;&gt; </span>preds
[{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.4532</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;hap&#x27;</span>},
 {<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.3622</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;sad&#x27;</span>},
 {<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.0943</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;neu&#x27;</span>},
 {<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.0903</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;ang&#x27;</span>}]`}}),vs=new g({}),Ts=new U({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMHBpcGVsaW5lJTBBJTBBdHJhbnNjcmliZXIlMjAlM0QlMjBwaXBlbGluZSh0YXNrJTNEJTIyYXV0b21hdGljLXNwZWVjaC1yZWNvZ25pdGlvbiUyMiUyQyUyMG1vZGVsJTNEJTIyb3BlbmFpJTJGd2hpc3Blci1zbWFsbCUyMiklMEF0cmFuc2NyaWJlciglMjJodHRwcyUzQSUyRiUyRmh1Z2dpbmdmYWNlLmNvJTJGZGF0YXNldHMlMkZOYXJzaWwlMkZhc3JfZHVtbXklMkZyZXNvbHZlJTJGbWFpbiUyRm1say5mbGFjJTIyKQ==",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>transcriber = pipeline(task=<span class="hljs-string">&quot;automatic-speech-recognition&quot;</span>, model=<span class="hljs-string">&quot;openai/whisper-small&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>transcriber(<span class="hljs-string">&quot;https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac&quot;</span>)
{<span class="hljs-string">&#x27;text&#x27;</span>: <span class="hljs-string">&#x27; I have a dream that one day this nation will rise up and live out the true meaning of its creed.&#x27;</span>}`}}),xs=new g({}),Zs=new g({}),Es=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>classifier = pipeline(task=<span class="hljs-string">&quot;image-classification&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = classifier(
<span class="hljs-meta">... </span>    <span class="hljs-string">&quot;https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg&quot;</span>
<span class="hljs-meta">... </span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [{<span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>), <span class="hljs-string">&quot;label&quot;</span>: pred[<span class="hljs-string">&quot;label&quot;</span>]} <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds]
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-built_in">print</span>(*preds, sep=<span class="hljs-string">&quot;\\n&quot;</span>)
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.4335</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;lynx, catamount&#x27;</span>}
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.0348</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;cougar, puma, catamount, mountain lion, painter, panther, Felis concolor&#x27;</span>}
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.0324</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;snow leopard, ounce, Panthera uncia&#x27;</span>}
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.0239</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;Egyptian cat&#x27;</span>}
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.0229</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;tiger cat&#x27;</span>}`}}),_s=new g({}),ks=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>detector = pipeline(task=<span class="hljs-string">&quot;object-detection&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = detector(
<span class="hljs-meta">... </span>    <span class="hljs-string">&quot;https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg&quot;</span>
<span class="hljs-meta">... </span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [{<span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>), <span class="hljs-string">&quot;label&quot;</span>: pred[<span class="hljs-string">&quot;label&quot;</span>], <span class="hljs-string">&quot;box&quot;</span>: pred[<span class="hljs-string">&quot;box&quot;</span>]} <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds]
<span class="hljs-meta">&gt;&gt;&gt; </span>preds
[{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9865</span>,
  <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;cat&#x27;</span>,
  <span class="hljs-string">&#x27;box&#x27;</span>: {<span class="hljs-string">&#x27;xmin&#x27;</span>: <span class="hljs-number">178</span>, <span class="hljs-string">&#x27;ymin&#x27;</span>: <span class="hljs-number">154</span>, <span class="hljs-string">&#x27;xmax&#x27;</span>: <span class="hljs-number">882</span>, <span class="hljs-string">&#x27;ymax&#x27;</span>: <span class="hljs-number">598</span>}}]`}}),Bs=new g({}),Ws=new U({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMHBpcGVsaW5lJTBBJTBBc2VnbWVudGVyJTIwJTNEJTIwcGlwZWxpbmUodGFzayUzRCUyMmltYWdlLXNlZ21lbnRhdGlvbiUyMiklMEFwcmVkcyUyMCUzRCUyMHNlZ21lbnRlciglMEElMjAlMjAlMjAlMjAlMjJodHRwcyUzQSUyRiUyRmh1Z2dpbmdmYWNlLmNvJTJGZGF0YXNldHMlMkZodWdnaW5nZmFjZSUyRmRvY3VtZW50YXRpb24taW1hZ2VzJTJGcmVzb2x2ZSUyRm1haW4lMkZwaXBlbGluZS1jYXQtY2hvbmsuanBlZyUyMiUwQSklMEFwcmVkcyUyMCUzRCUyMCU1QiU3QiUyMnNjb3JlJTIyJTNBJTIwcm91bmQocHJlZCU1QiUyMnNjb3JlJTIyJTVEJTJDJTIwNCklMkMlMjAlMjJsYWJlbCUyMiUzQSUyMHByZWQlNUIlMjJsYWJlbCUyMiU1RCU3RCUyMGZvciUyMHByZWQlMjBpbiUyMHByZWRzJTVEJTBBcHJpbnQoKnByZWRzJTJDJTIwc2VwJTNEJTIyJTVDbiUyMik=",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>segmenter = pipeline(task=<span class="hljs-string">&quot;image-segmentation&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = segmenter(
<span class="hljs-meta">... </span>    <span class="hljs-string">&quot;https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg&quot;</span>
<span class="hljs-meta">... </span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [{<span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>), <span class="hljs-string">&quot;label&quot;</span>: pred[<span class="hljs-string">&quot;label&quot;</span>]} <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds]
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-built_in">print</span>(*preds, sep=<span class="hljs-string">&quot;\\n&quot;</span>)
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9879</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;LABEL_184&#x27;</span>}
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9973</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;snow&#x27;</span>}
{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9972</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;cat&#x27;</span>}`}}),Ns=new g({}),Gs=new U({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMHBpcGVsaW5lJTBBJTBBZGVwdGhfZXN0aW1hdG9yJTIwJTNEJTIwcGlwZWxpbmUodGFzayUzRCUyMmRlcHRoLWVzdGltYXRpb24lMjIpJTBBcHJlZHMlMjAlM0QlMjBkZXB0aF9lc3RpbWF0b3IoJTBBJTIwJTIwJTIwJTIwJTIyaHR0cHMlM0ElMkYlMkZodWdnaW5nZmFjZS5jbyUyRmRhdGFzZXRzJTJGaHVnZ2luZ2ZhY2UlMkZkb2N1bWVudGF0aW9uLWltYWdlcyUyRnJlc29sdmUlMkZtYWluJTJGcGlwZWxpbmUtY2F0LWNob25rLmpwZWclMjIlMEEp",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>depth_estimator = pipeline(task=<span class="hljs-string">&quot;depth-estimation&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = depth_estimator(
<span class="hljs-meta">... </span>    <span class="hljs-string">&quot;https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg&quot;</span>
<span class="hljs-meta">... </span>)`}}),Cs=new g({}),qs=new g({}),Hs=new U({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMHBpcGVsaW5lJTBBJTBBY2xhc3NpZmllciUyMCUzRCUyMHBpcGVsaW5lKHRhc2slM0QlMjJzZW50aW1lbnQtYW5hbHlzaXMlMjIpJTBBcHJlZHMlMjAlM0QlMjBjbGFzc2lmaWVyKCUyMkh1Z2dpbmclMjBGYWNlJTIwaXMlMjB0aGUlMjBiZXN0JTIwdGhpbmclMjBzaW5jZSUyMHNsaWNlZCUyMGJyZWFkISUyMiklMEFwcmVkcyUyMCUzRCUyMCU1QiU3QiUyMnNjb3JlJTIyJTNBJTIwcm91bmQocHJlZCU1QiUyMnNjb3JlJTIyJTVEJTJDJTIwNCklMkMlMjAlMjJsYWJlbCUyMiUzQSUyMHByZWQlNUIlMjJsYWJlbCUyMiU1RCU3RCUyMGZvciUyMHByZWQlMjBpbiUyMHByZWRzJTVEJTBBcHJlZHM=",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>classifier = pipeline(task=<span class="hljs-string">&quot;sentiment-analysis&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = classifier(<span class="hljs-string">&quot;Hugging Face is the best thing since sliced bread!&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [{<span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>), <span class="hljs-string">&quot;label&quot;</span>: pred[<span class="hljs-string">&quot;label&quot;</span>]} <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds]
<span class="hljs-meta">&gt;&gt;&gt; </span>preds
[{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9991</span>, <span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;POSITIVE&#x27;</span>}]`}}),Vs=new g({}),Rs=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>classifier = pipeline(task=<span class="hljs-string">&quot;ner&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = classifier(<span class="hljs-string">&quot;Hugging Face is a French company based in New York City.&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [
<span class="hljs-meta">... </span>    {
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;entity&quot;</span>: pred[<span class="hljs-string">&quot;entity&quot;</span>],
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>),
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;index&quot;</span>: pred[<span class="hljs-string">&quot;index&quot;</span>],
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;word&quot;</span>: pred[<span class="hljs-string">&quot;word&quot;</span>],
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;start&quot;</span>: pred[<span class="hljs-string">&quot;start&quot;</span>],
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;end&quot;</span>: pred[<span class="hljs-string">&quot;end&quot;</span>],
<span class="hljs-meta">... </span>    }
<span class="hljs-meta">... </span>    <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds
<span class="hljs-meta">... </span>]
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-built_in">print</span>(*preds, sep=<span class="hljs-string">&quot;\\n&quot;</span>)
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-ORG&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9968</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">1</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;Hu&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">0</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">2</span>}
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-ORG&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9293</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">2</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;##gging&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">2</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">7</span>}
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-ORG&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9763</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">3</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;Face&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">8</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">12</span>}
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-MISC&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9983</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">6</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;French&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">18</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">24</span>}
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-LOC&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.999</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">10</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;New&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">42</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">45</span>}
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-LOC&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9987</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">11</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;York&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">46</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">50</span>}
{<span class="hljs-string">&#x27;entity&#x27;</span>: <span class="hljs-string">&#x27;I-LOC&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9992</span>, <span class="hljs-string">&#x27;index&#x27;</span>: <span class="hljs-number">12</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;City&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">51</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">55</span>}`}}),Ss=new g({}),As=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>question_answerer = pipeline(task=<span class="hljs-string">&quot;question-answering&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = question_answerer(
<span class="hljs-meta">... </span>    question=<span class="hljs-string">&quot;What is the name of the repository?&quot;</span>,
<span class="hljs-meta">... </span>    context=<span class="hljs-string">&quot;The name of the repository is huggingface/transformers&quot;</span>,
<span class="hljs-meta">... </span>)
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-built_in">print</span>(
<span class="hljs-meta">... </span>    <span class="hljs-string">f&quot;score: <span class="hljs-subst">{<span class="hljs-built_in">round</span>(preds[<span class="hljs-string">&#x27;score&#x27;</span>], <span class="hljs-number">4</span>)}</span>, start: <span class="hljs-subst">{preds[<span class="hljs-string">&#x27;start&#x27;</span>]}</span>, end: <span class="hljs-subst">{preds[<span class="hljs-string">&#x27;end&#x27;</span>]}</span>, answer: <span class="hljs-subst">{preds[<span class="hljs-string">&#x27;answer&#x27;</span>]}</span>&quot;</span>
<span class="hljs-meta">... </span>)
score: <span class="hljs-number">0.9327</span>, start: <span class="hljs-number">30</span>, end: <span class="hljs-number">54</span>, answer: huggingface/transformers`}}),Qs=new g({}),Ys=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>summarizer = pipeline(task=<span class="hljs-string">&quot;summarization&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>summarizer(
<span class="hljs-meta">... </span>    <span class="hljs-string">&quot;In this work, we presented the Transformer, the first sequence transduction model based entirely on attention, replacing the recurrent layers most commonly used in encoder-decoder architectures with multi-headed self-attention. For translation tasks, the Transformer can be trained significantly faster than architectures based on recurrent or convolutional layers. On both WMT 2014 English-to-German and WMT 2014 English-to-French translation tasks, we achieve a new state of the art. In the former task our best model outperforms even all previously reported ensembles.&quot;</span>
<span class="hljs-meta">... </span>)
[{<span class="hljs-string">&#x27;summary_text&#x27;</span>: <span class="hljs-string">&#x27; The Transformer is the first sequence transduction model based entirely on attention . It replaces the recurrent layers most commonly used in encoder-decoder architectures with multi-headed self-attention . For translation tasks, the Transformer can be trained significantly faster than architectures based on recurrent or convolutional layers .&#x27;</span>}]`}}),Xs=new g({}),Ps=new U({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMHBpcGVsaW5lJTBBJTBBdGV4dCUyMCUzRCUyMCUyMnRyYW5zbGF0ZSUyMEVuZ2xpc2glMjB0byUyMEZyZW5jaCUzQSUyMEh1Z2dpbmclMjBGYWNlJTIwaXMlMjBhJTIwY29tbXVuaXR5LWJhc2VkJTIwb3Blbi1zb3VyY2UlMjBwbGF0Zm9ybSUyMGZvciUyMG1hY2hpbmUlMjBsZWFybmluZy4lMjIlMEF0cmFuc2xhdG9yJTIwJTNEJTIwcGlwZWxpbmUodGFzayUzRCUyMnRyYW5zbGF0aW9uJTIyJTJDJTIwbW9kZWwlM0QlMjJ0NS1zbWFsbCUyMiklMEF0cmFuc2xhdG9yKHRleHQp",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>text = <span class="hljs-string">&quot;translate English to French: Hugging Face is a community-based open-source platform for machine learning.&quot;</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>translator = pipeline(task=<span class="hljs-string">&quot;translation&quot;</span>, model=<span class="hljs-string">&quot;t5-small&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>translator(text)
[{<span class="hljs-string">&#x27;translation_text&#x27;</span>: <span class="hljs-string">&quot;Hugging Face est une tribune communautaire de l&#x27;apprentissage des machines.&quot;</span>}]`}}),Fs=new g({}),Ds=new U({props:{code:"ZnJvbSUyMHRyYW5zZm9ybWVycyUyMGltcG9ydCUyMHBpcGVsaW5lJTBBJTBBcHJvbXB0JTIwJTNEJTIwJTIySHVnZ2luZyUyMEZhY2UlMjBpcyUyMGElMjBjb21tdW5pdHktYmFzZWQlMjBvcGVuLXNvdXJjZSUyMHBsYXRmb3JtJTIwZm9yJTIwbWFjaGluZSUyMGxlYXJuaW5nLiUyMiUwQWdlbmVyYXRvciUyMCUzRCUyMHBpcGVsaW5lKHRhc2slM0QlMjJ0ZXh0LWdlbmVyYXRpb24lMjIpJTBBZ2VuZXJhdG9yKHByb21wdCklMjAlMjAlMjMlMjBkb2N0ZXN0JTNBJTIwJTJCU0tJUA==",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

<span class="hljs-meta">&gt;&gt;&gt; </span>prompt = <span class="hljs-string">&quot;Hugging Face is a community-based open-source platform for machine learning.&quot;</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>generator = pipeline(task=<span class="hljs-string">&quot;text-generation&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>generator(prompt)  <span class="hljs-comment"># doctest: +SKIP</span>`}}),Os=new U({props:{code:"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",highlighted:`<span class="hljs-meta">&gt;&gt;&gt; </span>text = <span class="hljs-string">&quot;Hugging Face is a community-based open-source &lt;mask&gt; for machine learning.&quot;</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>fill_mask = pipeline(task=<span class="hljs-string">&quot;fill-mask&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = fill_mask(text, top_k=<span class="hljs-number">1</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>preds = [
<span class="hljs-meta">... </span>    {
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;score&quot;</span>: <span class="hljs-built_in">round</span>(pred[<span class="hljs-string">&quot;score&quot;</span>], <span class="hljs-number">4</span>),
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;token&quot;</span>: pred[<span class="hljs-string">&quot;token&quot;</span>],
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;token_str&quot;</span>: pred[<span class="hljs-string">&quot;token_str&quot;</span>],
<span class="hljs-meta">... </span>        <span class="hljs-string">&quot;sequence&quot;</span>: pred[<span class="hljs-string">&quot;sequence&quot;</span>],
<span class="hljs-meta">... </span>    }
<span class="hljs-meta">... </span>    <span class="hljs-keyword">for</span> pred <span class="hljs-keyword">in</span> preds
<span class="hljs-meta">... </span>]
<span class="hljs-meta">&gt;&gt;&gt; </span>preds
[{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.2236</span>,
  <span class="hljs-string">&#x27;token&#x27;</span>: <span class="hljs-number">1761</span>,
  <span class="hljs-string">&#x27;token_str&#x27;</span>: <span class="hljs-string">&#x27; platform&#x27;</span>,
  <span class="hljs-string">&#x27;sequence&#x27;</span>: <span class="hljs-string">&#x27;Hugging Face is a community-based open-source platform for machine learning.&#x27;</span>}]`}}),{c(){T=t("meta"),Xa=i(),x=t("h1"),Q=t("a"),Nl=t("span"),u(Us.$$.fragment),zn=i(),Gl=t("span"),Yn=c("\u{1F917} Transformers\uB85C \uD560 \uC218 \uC788\uB294 \uAC83"),Pa=i(),sl=t("p"),Xn=c(`\u{1F917} Transformers\uB294 \uC790\uC5F0\uC5B4\uCC98\uB9AC(NLP), \uCEF4\uD4E8\uD130 \uBE44\uC804, \uC624\uB514\uC624 \uBC0F \uC74C\uC131 \uCC98\uB9AC \uC791\uC5C5\uC5D0 \uB300\uD55C \uC0AC\uC804\uD6C8\uB828\uB41C \uCD5C\uCCA8\uB2E8 \uBAA8\uB378 \uB77C\uC774\uBE0C\uB7EC\uB9AC\uC785\uB2C8\uB2E4.
\uC774 \uB77C\uC774\uBE0C\uB7EC\uB9AC\uB294 \uD2B8\uB79C\uC2A4\uD3EC\uBA38 \uBAA8\uB378\uBFD0\uB9CC \uC544\uB2C8\uB77C \uCEF4\uD4E8\uD130 \uBE44\uC804 \uC791\uC5C5\uC744 \uC704\uD55C \uD604\uB300\uC801\uC778 \uD569\uC131\uACF1 \uC2E0\uACBD\uB9DD\uACFC \uAC19\uC740 \uD2B8\uB79C\uC2A4\uD3EC\uBA38\uAC00 \uC544\uB2CC \uBAA8\uB378\uB3C4 \uD3EC\uD568\uD558\uACE0 \uC788\uC2B5\uB2C8\uB2E4.`),Fa=i(),ll=t("p"),Pn=c(`\uC2A4\uB9C8\uD2B8\uD3F0, \uC571, \uD154\uB808\uBE44\uC804\uACFC \uAC19\uC740 \uC624\uB298\uB0A0 \uAC00\uC7A5 \uC778\uAE30 \uC788\uB294 \uC18C\uBE44\uC790 \uC81C\uD488\uC744 \uC0B4\uD3B4\uBCF4\uBA74, \uB525\uB7EC\uB2DD \uAE30\uC220\uC774 \uADF8 \uB4A4\uC5D0 \uC0AC\uC6A9\uB418\uACE0 \uC788\uC744 \uD655\uB960\uC774 \uB192\uC2B5\uB2C8\uB2E4.
\uC2A4\uB9C8\uD2B8\uD3F0\uC73C\uB85C \uCD2C\uC601\uD55C \uC0AC\uC9C4\uC5D0\uC11C \uBC30\uACBD \uAC1D\uCCB4\uB97C \uC81C\uAC70\uD558\uACE0 \uC2F6\uB2E4\uBA74 \uC5B4\uB5BB\uAC8C \uD560\uAE4C\uC694? \uC774\uB294 \uD30C\uB189\uD2F1 \uC138\uADF8\uBA58\uD14C\uC774\uC158 \uC791\uC5C5\uC758 \uC608\uC785\uB2C8\uB2E4(\uC544\uC9C1 \uC774\uAC8C \uBB34\uC5C7\uC778\uC9C0 \uBAA8\uB978\uB2E4\uBA74, \uB2E4\uC74C \uC139\uC158\uC5D0\uC11C \uC124\uBA85\uD558\uACA0\uC2B5\uB2C8\uB2E4!).`),La=i(),al=t("p"),Fn=c("\uC774 \uD398\uC774\uC9C0\uB294 \uB2E4\uC591\uD55C \uC74C\uC131 \uBC0F \uC624\uB514\uC624, \uCEF4\uD4E8\uD130 \uBE44\uC804, NLP \uC791\uC5C5\uC744 \u{1F917} Transformers \uB77C\uC774\uBE0C\uB7EC\uB9AC\uB97C \uD65C\uC6A9\uD558\uC5EC \uB2E4\uB8E8\uB294 \uAC04\uB2E8\uD55C \uC608\uC81C\uB97C 3\uC904\uC758 \uCF54\uB4DC\uB85C \uC81C\uACF5\uD569\uB2C8\uB2E4."),Da=i(),I=t("h2"),z=t("a"),Cl=t("span"),u(ws.$$.fragment),Ln=i(),ql=t("span"),Dn=c("\uC624\uB514\uC624"),Ka=i(),tl=t("p"),Kn=c(`\uC74C\uC131 \uBC0F \uC624\uB514\uC624 \uCC98\uB9AC \uC791\uC5C5\uC740 \uB2E4\uB978 \uBAA8\uB2EC\uB9AC\uD2F0\uC640 \uC57D\uAC04 \uB2E4\uB985\uB2C8\uB2E4. \uC774\uB294 \uC8FC\uB85C \uC624\uB514\uC624\uAC00 \uC5F0\uC18D\uC801\uC778 \uC2E0\uD638\uB85C \uC785\uB825\uB418\uAE30 \uB54C\uBB38\uC785\uB2C8\uB2E4.
\uD14D\uC2A4\uD2B8\uC640 \uB2EC\uB9AC \uC6D0\uBCF8 \uC624\uB514\uC624 \uD30C\uD615(waveform)\uC740 \uBB38\uC7A5\uC774 \uB2E8\uC5B4\uB85C \uB098\uB220\uC9C0\uB294 \uAC83\uCC98\uB7FC \uAE54\uB054\uD558\uAC8C \uC774\uC0B0\uC801\uC778 \uBB36\uC74C\uC73C\uB85C \uB098\uB20C \uC218 \uC5C6\uC2B5\uB2C8\uB2E4.
\uC774\uB97C \uADF9\uBCF5\uD558\uAE30 \uC704\uD574 \uC6D0\uBCF8 \uC624\uB514\uC624 \uC2E0\uD638\uB294 \uC77C\uC815\uD55C \uAC04\uACA9\uC73C\uB85C \uC0D8\uD50C\uB9C1\uB429\uB2C8\uB2E4. \uD574\uB2F9 \uAC04\uACA9 \uB0B4\uC5D0\uC11C \uB354 \uB9CE\uC740 \uC0D8\uD50C\uC744 \uCDE8\uD560 \uACBD\uC6B0 \uC0D8\uD50C\uB9C1\uB960\uC774 \uB192\uC544\uC9C0\uBA70, \uC624\uB514\uC624\uB294 \uC6D0\uBCF8 \uC624\uB514\uC624 \uC18C\uC2A4\uC5D0 \uB354 \uAC00\uAE4C\uC6CC\uC9D1\uB2C8\uB2E4.`),Oa=i(),nl=t("p"),On=c(`\uACFC\uAC70\uC758 \uC811\uADFC \uBC29\uC2DD\uC740 \uC624\uB514\uC624\uC5D0\uC11C \uC720\uC6A9\uD55C \uD2B9\uC9D5\uC744 \uCD94\uCD9C\uD558\uAE30 \uC704\uD574 \uC624\uB514\uC624\uB97C \uC804\uCC98\uB9AC\uD558\uB294 \uAC83\uC774\uC5C8\uC2B5\uB2C8\uB2E4.
\uD558\uC9C0\uB9CC \uD604\uC7AC\uB294 \uC6D0\uBCF8 \uC624\uB514\uC624 \uD30C\uD615\uC744 \uD2B9\uC131 \uC778\uCF54\uB354\uC5D0 \uC9C1\uC811 \uB123\uC5B4\uC11C \uC624\uB514\uC624 \uD45C\uD604(representation)\uC744 \uCD94\uCD9C\uD558\uB294 \uAC83\uC774 \uB354 \uC77C\uBC18\uC801\uC785\uB2C8\uB2E4.
\uC774\uB807\uAC8C \uD558\uBA74 \uC804\uCC98\uB9AC \uB2E8\uACC4\uAC00 \uB2E8\uC21C\uD574\uC9C0\uACE0 \uBAA8\uB378\uC774 \uAC00\uC7A5 \uC911\uC694\uD55C \uD2B9\uC9D5\uC744 \uD559\uC2B5\uD560 \uC218 \uC788\uC2B5\uB2C8\uB2E4.`),st=i(),Z=t("h3"),Y=t("a"),Hl=t("span"),u(bs.$$.fragment),se=i(),Vl=t("span"),le=c("\uC624\uB514\uC624 \uBD84\uB958"),lt=i(),el=t("p"),ae=c("\uC624\uB514\uC624 \uBD84\uB958\uB294 \uC624\uB514\uC624 \uB370\uC774\uD130\uC5D0 \uBBF8\uB9AC \uC815\uC758\uB41C \uD074\uB798\uC2A4 \uC9D1\uD569\uC758 \uB808\uC774\uBE14\uC744 \uC9C0\uC815\uD558\uB294 \uC791\uC5C5\uC785\uB2C8\uB2E4. \uC774\uB294 \uB9CE\uC740 \uAD6C\uCCB4\uC801\uC778 \uC751\uC6A9 \uD504\uB85C\uADF8\uB7A8\uC744 \uD3EC\uD568\uD55C \uB113\uC740 \uBC94\uC8FC\uC785\uB2C8\uB2E4."),at=i(),pl=t("p"),te=c("\uC77C\uBD80 \uC608\uC2DC\uB294 \uB2E4\uC74C\uACFC \uAC19\uC2B5\uB2C8\uB2E4:"),tt=i(),w=t("ul"),Rl=t("li"),ne=c("\uC74C\uD5A5 \uC7A5\uBA74 \uBD84\uB958: \uC624\uB514\uC624\uC5D0 \uC7A5\uBA74 \uB808\uC774\uBE14(\u201C\uC0AC\uBB34\uC2E4\u201D, \u201C\uD574\uBCC0\u201D, \u201C\uACBD\uAE30\uC7A5\u201D)\uC744 \uC9C0\uC815\uD569\uB2C8\uB2E4."),ee=i(),Sl=t("li"),pe=c("\uC74C\uD5A5 \uC774\uBCA4\uD2B8 \uAC10\uC9C0: \uC624\uB514\uC624\uC5D0 \uC18C\uB9AC \uC774\uBCA4\uD2B8 \uB808\uC774\uBE14(\u201C\uCC28 \uACBD\uC801\u201D, \u201C\uACE0\uB798 \uC6B8\uC74C\uC18C\uB9AC\u201D, \u201C\uC720\uB9AC \uD30C\uC190\u201D)\uC744 \uC9C0\uC815\uD569\uB2C8\uB2E4."),re=i(),Al=t("li"),ie=c("\uD0DC\uAE45: \uC5EC\uB7EC \uAC00\uC9C0 \uC18C\uB9AC(\uC0C8 \uC9C0\uC800\uADD0, \uD68C\uC758\uC5D0\uC11C\uC758 \uD654\uC790 \uC2DD\uBCC4)\uAC00 \uD3EC\uD568\uB41C \uC624\uB514\uC624\uC5D0 \uB808\uC774\uBE14\uC744 \uC9C0\uC815\uD569\uB2C8\uB2E4."),oe=i(),Ql=t("li"),ce=c("\uC74C\uC545 \uBD84\uB958: \uC74C\uC545\uC5D0 \uC7A5\uB974 \uB808\uC774\uBE14(\u201C\uBA54\uD0C8\u201D, \u201C\uD799\uD569\u201D, \u201C\uCEE8\uD2B8\uB9AC\u201D)\uC744 \uC9C0\uC815\uD569\uB2C8\uB2E4."),nt=i(),u(ds.$$.fragment),et=i(),E=t("h3"),X=t("a"),zl=t("span"),u(vs.$$.fragment),he=i(),Yl=t("span"),me=c("\uC790\uB3D9 \uC74C\uC131 \uC778\uC2DD"),pt=i(),rl=t("p"),ue=c(`\uC790\uB3D9 \uC74C\uC131 \uC778\uC2DD(ASR)\uC740 \uC74C\uC131\uC744 \uD14D\uC2A4\uD2B8\uB85C \uBCC0\uD658\uD558\uB294 \uC791\uC5C5\uC785\uB2C8\uB2E4.
\uC74C\uC131\uC740 \uC778\uAC04\uC758 \uC790\uC5F0\uC2A4\uB7EC\uC6B4 \uC758\uC0AC\uC18C\uD1B5 \uD615\uD0DC\uC774\uAE30 \uB54C\uBB38\uC5D0 ASR\uC740 \uAC00\uC7A5 \uC77C\uBC18\uC801\uC778 \uC624\uB514\uC624 \uC791\uC5C5 \uC911 \uD558\uB098\uC785\uB2C8\uB2E4.
\uC624\uB298\uB0A0 ASR \uC2DC\uC2A4\uD15C\uC740 \uC2A4\uD53C\uCEE4, \uC804\uD654 \uBC0F \uC790\uB3D9\uCC28\uC640 \uAC19\uC740 \u201C\uC2A4\uB9C8\uD2B8\u201D \uAE30\uC220 \uC81C\uD488\uC5D0 \uB0B4\uC7A5\uB418\uC5B4 \uC788\uC2B5\uB2C8\uB2E4.
\uC6B0\uB9AC\uB294 \uAC00\uC0C1 \uBE44\uC11C\uC5D0\uAC8C \uC74C\uC545 \uC7AC\uC0DD, \uC54C\uB9BC \uC124\uC815 \uBC0F \uB0A0\uC528 \uC815\uBCF4\uB97C \uC694\uCCAD\uD560 \uC218 \uC788\uC2B5\uB2C8\uB2E4.`),rt=i(),il=t("p"),ye=c("\uD558\uC9C0\uB9CC \uD2B8\uB79C\uC2A4\uD3EC\uBA38 \uC544\uD0A4\uD14D\uCC98\uAC00 \uD574\uACB0\uD558\uB294 \uB370 \uB3C4\uC6C0\uC744 \uC900 \uD575\uC2EC \uB3C4\uC804 \uACFC\uC81C \uC911 \uD558\uB098\uB294 \uC591\uC774 \uB370\uC774\uD130 \uC591\uC774 \uC801\uC740 \uC5B8\uC5B4(low-resource language)\uC5D0 \uB300\uD55C \uAC83\uC785\uB2C8\uB2E4. \uB300\uB7C9\uC758 \uC74C\uC131 \uB370\uC774\uD130\uB85C \uC0AC\uC804 \uD6C8\uB828\uD55C \uD6C4 \uB370\uC774\uD130 \uC591\uC774 \uC801\uC740 \uC5B8\uC5B4\uC5D0\uC11C \uB808\uC774\uBE14\uC774 \uC9C0\uC815\uB41C \uC74C\uC131 \uB370\uC774\uD130 1\uC2DC\uAC04\uB9CC\uC73C\uB85C \uBAA8\uB378\uC744 \uBBF8\uC138 \uC870\uC815\uD558\uBA74 \uC774\uC804\uC758 100\uBC30 \uB9CE\uC740 \uB808\uC774\uBE14\uC774 \uC9C0\uC815\uB41C \uB370\uC774\uD130\uB85C \uD6C8\uB828\uB41C ASR \uC2DC\uC2A4\uD15C\uBCF4\uB2E4 \uD6E8\uC52C \uB354 \uB192\uC740 \uD488\uC9C8\uC758 \uACB0\uACFC\uB97C \uC5BB\uC744 \uC218 \uC788\uC2B5\uB2C8\uB2E4."),it=i(),u(Ts.$$.fragment),ot=i(),_=t("h2"),P=t("a"),Xl=t("span"),u(xs.$$.fragment),je=i(),Pl=t("span"),fe=c("\uCEF4\uD4E8\uD130 \uBE44\uC804"),ct=i(),F=t("p"),Me=c("\uCEF4\uD4E8\uD130 \uBE44\uC804 \uC791\uC5C5 \uC911 \uAC00\uC7A5 \uCD08\uAE30\uC758 \uC131\uACF5\uC801\uC778 \uC791\uC5C5 \uC911 \uD558\uB098\uB294 "),ol=t("a"),Je=c("\uD569\uC131\uACF1 \uC2E0\uACBD\uB9DD(CNN)"),ge=c("\uC744 \uC0AC\uC6A9\uD558\uC5EC \uC6B0\uD3B8\uBC88\uD638 \uC22B\uC790 \uC774\uBBF8\uC9C0\uB97C \uC778\uC2DD\uD558\uB294 \uAC83\uC774\uC5C8\uC2B5\uB2C8\uB2E4. \uC774\uBBF8\uC9C0\uB294 \uD53D\uC140\uB85C \uAD6C\uC131\uB418\uC5B4 \uC788\uC73C\uBA70 \uAC01 \uD53D\uC140\uC740 \uC22B\uC790 \uAC12\uC73C\uB85C \uD45C\uD604\uB429\uB2C8\uB2E4. \uC774\uB85C\uC368 \uC774\uBBF8\uC9C0\uB97C \uD53D\uC140 \uAC12\uC758 \uD589\uB82C\uB85C \uB098\uD0C0\uB0B4\uB294 \uAC83\uC774 \uC26C\uC6CC\uC9D1\uB2C8\uB2E4. \uD2B9\uC815\uD55C \uD53D\uC140 \uAC12\uC758 \uC870\uD569\uC740 \uC774\uBBF8\uC9C0\uC758 \uC0C9\uC0C1\uC744 \uC758\uBBF8\uD569\uB2C8\uB2E4."),ht=i(),cl=t("p"),Ue=c("\uCEF4\uD4E8\uD130 \uBE44\uC804 \uC791\uC5C5\uC740 \uC77C\uBC18\uC801\uC73C\uB85C \uB2E4\uC74C \uB450 \uAC00\uC9C0 \uBC29\uBC95\uC73C\uB85C \uC811\uADFC \uAC00\uB2A5\uD569\uB2C8\uB2E4:"),mt=i(),L=t("ol"),Fl=t("li"),Ll=t("p"),we=c("\uD569\uC131\uACF1\uC744 \uC0AC\uC6A9\uD558\uC5EC \uC774\uBBF8\uC9C0\uC758 \uB0AE\uC740 \uC218\uC900 \uD2B9\uC9D5\uC5D0\uC11C \uB192\uC740 \uC218\uC900\uC758 \uCD94\uC0C1\uC801\uC778 \uC694\uC18C\uAE4C\uC9C0 \uACC4\uCE35\uC801\uC73C\uB85C \uD559\uC2B5\uD569\uB2C8\uB2E4."),be=i(),Dl=t("li"),Is=t("p"),de=c("\uC774\uBBF8\uC9C0\uB97C \uD328\uCE58\uB85C \uB098\uB204\uACE0 \uD2B8\uB79C\uC2A4\uD3EC\uBA38\uB97C \uC0AC\uC6A9\uD558\uC5EC \uC810\uC9C4\uC801\uC73C\uB85C \uAC01 \uC774\uBBF8\uC9C0 \uD328\uCE58\uAC00 \uC11C\uB85C \uC5B4\uB5A0\uD55C \uBC29\uC2DD\uC73C\uB85C \uC5F0\uAD00\uB418\uC5B4 \uC774\uBBF8\uC9C0\uB97C \uD615\uC131\uD558\uB294\uC9C0 \uD559\uC2B5\uD569\uB2C8\uB2E4. 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\uC774 \uB77C\uC774\uBE0C\uB7EC\uB9AC\uB294 \uD2B8\uB79C\uC2A4\uD3EC\uBA38 \uBAA8\uB378\uBFD0\uB9CC \uC544\uB2C8\uB77C \uCEF4\uD4E8\uD130 \uBE44\uC804 \uC791\uC5C5\uC744 \uC704\uD55C \uD604\uB300\uC801\uC778 \uD569\uC131\uACF1 \uC2E0\uACBD\uB9DD\uACFC \uAC19\uC740 \uD2B8\uB79C\uC2A4\uD3EC\uBA38\uAC00 \uC544\uB2CC \uBAA8\uB378\uB3C4 \uD3EC\uD568\uD558\uACE0 \uC788\uC2B5\uB2C8\uB2E4.`),dr.forEach(l),Fa=o(s),ll=n(s,"P",{});var vr=e(ll);Pn=h(vr,`\uC2A4\uB9C8\uD2B8\uD3F0, \uC571, \uD154\uB808\uBE44\uC804\uACFC \uAC19\uC740 \uC624\uB298\uB0A0 \uAC00\uC7A5 \uC778\uAE30 \uC788\uB294 \uC18C\uBE44\uC790 \uC81C\uD488\uC744 \uC0B4\uD3B4\uBCF4\uBA74, \uB525\uB7EC\uB2DD \uAE30\uC220\uC774 \uADF8 \uB4A4\uC5D0 \uC0AC\uC6A9\uB418\uACE0 \uC788\uC744 \uD655\uB960\uC774 \uB192\uC2B5\uB2C8\uB2E4.
\uC2A4\uB9C8\uD2B8\uD3F0\uC73C\uB85C \uCD2C\uC601\uD55C \uC0AC\uC9C4\uC5D0\uC11C \uBC30\uACBD \uAC1D\uCCB4\uB97C \uC81C\uAC70\uD558\uACE0 \uC2F6\uB2E4\uBA74 \uC5B4\uB5BB\uAC8C \uD560\uAE4C\uC694? \uC774\uB294 \uD30C\uB189\uD2F1 \uC138\uADF8\uBA58\uD14C\uC774\uC158 \uC791\uC5C5\uC758 \uC608\uC785\uB2C8\uB2E4(\uC544\uC9C1 \uC774\uAC8C \uBB34\uC5C7\uC778\uC9C0 \uBAA8\uB978\uB2E4\uBA74, \uB2E4\uC74C \uC139\uC158\uC5D0\uC11C \uC124\uBA85\uD558\uACA0\uC2B5\uB2C8\uB2E4!).`),vr.forEach(l),La=o(s),al=n(s,"P",{});var Tr=e(al);Fn=h(Tr,"\uC774 \uD398\uC774\uC9C0\uB294 \uB2E4\uC591\uD55C \uC74C\uC131 \uBC0F \uC624\uB514\uC624, \uCEF4\uD4E8\uD130 \uBE44\uC804, NLP \uC791\uC5C5\uC744 \u{1F917} Transformers \uB77C\uC774\uBE0C\uB7EC\uB9AC\uB97C \uD65C\uC6A9\uD558\uC5EC \uB2E4\uB8E8\uB294 \uAC04\uB2E8\uD55C \uC608\uC81C\uB97C 3\uC904\uC758 \uCF54\uB4DC\uB85C \uC81C\uACF5\uD569\uB2C8\uB2E4."),Tr.forEach(l),Da=o(s),I=n(s,"H2",{class:!0});var un=e(I);z=n(un,"A",{id:!0,class:!0,href:!0});var xr=e(z);Cl=n(xr,"SPAN",{});var Ir=e(Cl);y(ws.$$.fragment,Ir),Ir.forEach(l),xr.forEach(l),Ln=o(un),ql=n(un,"SPAN",{});var Zr=e(ql);Dn=h(Zr,"\uC624\uB514\uC624"),Zr.forEach(l),un.forEach(l),Ka=o(s),tl=n(s,"P",{});var Er=e(tl);Kn=h(Er,`\uC74C\uC131 \uBC0F \uC624\uB514\uC624 \uCC98\uB9AC \uC791\uC5C5\uC740 \uB2E4\uB978 \uBAA8\uB2EC\uB9AC\uD2F0\uC640 \uC57D\uAC04 \uB2E4\uB985\uB2C8\uB2E4. \uC774\uB294 \uC8FC\uB85C \uC624\uB514\uC624\uAC00 \uC5F0\uC18D\uC801\uC778 \uC2E0\uD638\uB85C \uC785\uB825\uB418\uAE30 \uB54C\uBB38\uC785\uB2C8\uB2E4.
\uD14D\uC2A4\uD2B8\uC640 \uB2EC\uB9AC \uC6D0\uBCF8 \uC624\uB514\uC624 \uD30C\uD615(waveform)\uC740 \uBB38\uC7A5\uC774 \uB2E8\uC5B4\uB85C \uB098\uB220\uC9C0\uB294 \uAC83\uCC98\uB7FC \uAE54\uB054\uD558\uAC8C \uC774\uC0B0\uC801\uC778 \uBB36\uC74C\uC73C\uB85C \uB098\uB20C \uC218 \uC5C6\uC2B5\uB2C8\uB2E4.
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