import{S as Kr,i as Or,s as Qr,e as s,k as p,t as w,w as h,M as Dr,c as i,d as t,m as f,a as n,h as g,x as $,b as l,G as r,g as o,y as m,L as Gr,q as u,o as c,B as v,v as Jr}from"../../chunks/vendor-hf-doc-builder.js";import{I as x}from"../../chunks/IconCopyLink-hf-doc-builder.js";import{C as ar}from"../../chunks/CodeBlock-hf-doc-builder.js";import{C as Rr}from"../../chunks/CourseFloatingBanner-hf-doc-builder.js";import{Q as _}from"../../chunks/Question-hf-doc-builder.js";import"../../chunks/DocNotebookDropdown-hf-doc-builder.js";function Ur(sr){let d,Oe,D,Nt,Qe,G,De,ge,Ht,Ge,xe,jt,Je,y,T,_e,J,Tt,R,Ct,de,Mt,Bt,Re,U,Ue,b,C,ye,V,Ft,be,It,Ve,W,We,X,Xe,k,M,ke,Y,zt,Ee,Lt,Ye,Z,Ze,ee,et,E,B,Ae,te,Kt,Se,Ot,tt,re,rt,ae,at,A,F,qe,se,Qt,Pe,Dt,st,ie,it,S,I,Ne,ne,Gt,He,Jt,nt,le,lt,q,z,je,oe,Rt,Te,Ut,ot,pe,pt,P,L,Ce,fe,Vt,Me,Wt,ft,he,ht,N,K,Be,$e,Xt,Fe,Yt,$t,me,mt,H,O,Ie,ue,Zt,ze,er,ut,ce,ct,j,Q,Le,ve,tr,Ke,rr,vt,we,wt;return G=new Rr({props:{chapter:1,classNames:"absolute z-10 right-0 top-0"}}),J=new x({}),U=new _({props:{choices:[{text:"\uC694\uC57D",explain:'\uC774 \uD398\uC774\uC9C0\uB97C \uB2E4\uC2DC \uD655\uC778\uD558\uC138\uC694 <a href="https://huggingface.co/roberta-large-mnli">roberta-large-mnli page</a>.'},{text:"\uD14D\uC2A4\uD2B8 \uBD84\uB958",explain:"\uB354 \uC815\uD655\uD558\uAC8C \uB9D0\uD558\uBA74, \uC774 \uBAA8\uB378\uC740 \uB450 \uBB38\uC7A5\uC774 \uB17C\uB9AC\uC801\uC73C\uB85C \uD0C0\uB2F9\uD55C\uC9C0 \uC138 \uAC00\uC9C0 \uB808\uC774\uBE14(\uBAA8\uC21C, \uD568\uC758, \uC911\uB9BD)\uB85C \uBD84\uB958\uD569\uB2C8\uB2E4. \uC774\uB7EC\uD55C \uBB38\uC81C\uB97C <em>\uC790\uC5F0\uC5B4 \uCD94\uB860(natural language inference)</em>\uC774\uB77C\uACE0 \uBD80\uB985\uB2C8\uB2E4.",correct:!0},{text:"\uD14D\uC2A4\uD2B8 \uC0DD\uC131",explain:'\uC774 \uD398\uC774\uC9C0\uB97C \uB2E4\uC2DC \uD655\uC778\uD558\uC138\uC694 <a href="https://huggingface.co/roberta-large-mnli">roberta-large-mnli page</a>.'}]}}),V=new x({}),W=new ar({props:{code:`from transformers import pipeline

ner = pipeline("ner", grouped_entities=True)
ner("My name is Sylvain and I work at Hugging Face in Brooklyn.")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

ner = pipeline(<span class="hljs-string">&quot;ner&quot;</span>, grouped_entities=<span class="hljs-literal">True</span>)
ner(<span class="hljs-string">&quot;My name is Sylvain and I work at Hugging Face in Brooklyn.&quot;</span>)`}}),X=new _({props:{choices:[{text:'\uBB38\uC7A5\uC5D0 \uB300\uD574 "positive" \uD639\uC740 "negative" \uB85C \uBD84\uB958\uD55C \uB808\uC774\uBE14\uACFC \uD568\uAED8 \uBD84\uB958 \uC810\uC218\uB97C \uBC18\uD658\uD569\uB2C8\uB2E4.',explain:"\uC624\uB2F5\uC785\uB2C8\uB2E4 \u2014 \uC774\uB294 <code>sentiment-analysis</code> \uD30C\uC774\uD504\uB77C\uC778\uC5D0 \uB300\uD55C \uC124\uBA85\uC785\uB2C8\uB2E4."},{text:"\uC774 \uBB38\uC7A5\uC744 \uC644\uC131\uD560, \uC0DD\uC131 \uD14D\uC2A4\uD2B8\uB97C \uBC18\uD658\uD569\uB2C8\uB2E4.",explain:"\uC624\uB2F5\uC785\uB2C8\uB2E4 \u2014 \uC774\uB294 <code>text-generation</code> \uD30C\uC774\uD504\uB77C\uC778\uC5D0 \uB300\uD55C \uC124\uBA85\uC785\uB2C8\uB2E4."},{text:"\uC0AC\uB78C, \uAE30\uAD00, \uC7A5\uC18C \uB4F1\uC744 \uB098\uD0C0\uB0B4\uB294 \uB2E8\uC5B4\uB4E4\uC744 \uBC18\uD658\uD569\uB2C8\uB2E4.",explain:'\uC774 \uBFD0\uB9CC \uC544\uB2C8\uB77C, <code>grouped_entities=True</code>\uB97C \uC0AC\uC6A9\uD574 "Hugging Face"\uC640 \uAC19\uC774 \uAC19\uC740 \uAC1C\uCCB4\uC5D0 \uD574\uB2F9\uD558\uB294 \uB2E8\uC5B4\uB4E4\uC744 \uADF8\uB8F9\uD654\uD574\uC90D\uB2C8\uB2E4.',correct:!0}]}}),Y=new x({}),Z=new ar({props:{code:`from transformers import pipeline

filler = pipeline("fill-mask", model="bert-base-cased")
result = filler("...")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

filler = pipeline(<span class="hljs-string">&quot;fill-mask&quot;</span>, model=<span class="hljs-string">&quot;bert-base-cased&quot;</span>)
result = filler(<span class="hljs-string">&quot;...&quot;</span>)`}}),ee=new _({props:{choices:[{text:"&amp;lt;mask>",explain:"\uC624\uB2F5\uC785\uB2C8\uB2E4. \uC5EC\uAE30 <code>bert-base-cased</code> \uBAA8\uB378 \uCE74\uB4DC\uB97C \uBCF4\uC2DC\uACE0 \uB2E4\uC2DC \uB3C4\uC804\uD574\uBCF4\uC138\uC694."},{text:"[MASK]",explain:"\uC815\uB2F5! \uC774 \uBAA8\uB378\uC758 \uB9C8\uC2A4\uD06C \uD1A0\uD070\uC740 [MASK]\uC785\uB2C8\uB2E4.",correct:!0},{text:"man",explain:"\uC624\uB2F5\uC785\uB2C8\uB2E4. \uC774 \uD30C\uC774\uD504\uB77C\uC778\uC740 \uB9C8\uC2A4\uD0B9\uB41C \uB2E8\uC5B4\uB97C \uCC44\uC6CC\uC57C\uD558\uAE30\uB2C8\uAE4C \uC5B4\uB518\uAC00\uC5D0\uB294 \uB9C8\uC2A4\uD06C \uD1A0\uD070\uC774 \uC788\uC5B4\uC57C\uACA0\uC8E0?"}]}}),te=new x({}),re=new ar({props:{code:`from transformers import pipeline

classifier = pipeline("zero-shot-classification")
result = classifier("This is a course about the Transformers library")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

classifier = pipeline(<span class="hljs-string">&quot;zero-shot-classification&quot;</span>)
result = classifier(<span class="hljs-string">&quot;This is a course about the Transformers library&quot;</span>)`}}),ae=new _({props:{choices:[{text:"\uD574\uB2F9 \uD14D\uC2A4\uD2B8\uB97C \uBD84\uB958\uD558\uAE30 \uC704\uD574\uC11C\uB294 \uD30C\uC774\uD504\uB77C\uC778\uC5D0 \uB808\uC774\uBE14\uC744 \uB123\uC5B4\uC8FC\uC5B4\uC57C \uD569\uB2C8\uB2E4.",explain:"\uB9DE\uC2B5\uB2C8\uB2E4 \u2014 \uC81C\uB300\uB85C \uC791\uB3D9\uC2DC\uD0A4\uAE30 \uC704\uD574 \uB2E4\uC74C \uCF54\uB4DC\uAC00 \uD544\uC694\uD569\uB2C8\uB2E4. <code>candidate_labels=[...]</code>.",correct:!0},{text:"\uD55C \uBB38\uC7A5\uC774 \uC544\uB2C8\uB77C, \uC5EC\uB7EC \uBB38\uC7A5\uC744 \uD30C\uC774\uD504\uB77C\uC778\uC5D0 \uB123\uC5B4\uC8FC\uC5B4\uC57C \uD569\uB2C8\uB2E4.",explain:"\uD2C0\uB838\uC9C0\uB9CC, \uB2E4\uB978 \uD30C\uC774\uD504\uB77C\uC778\uACFC \uB9C8\uCC2C\uAC00\uC9C0\uB85C \uC81C\uB300\uB85C \uC0AC\uC6A9\uD55C\uB2E4\uBA74 \uBB3C\uB860 \uC5EC\uB7EC \uB9AC\uC2A4\uD2B8\uC758 \uBB38\uC7A5\uB3C4 \uC785\uB825\uC73C\uB85C \uB123\uC5B4\uC904 \uC218 \uC788\uC2B5\uB2C8\uB2E4."},{text:"\uB298 \uADF8\uB807\uB4EF \u{1F917} Transformers \uB77C\uC774\uBE0C\uB7EC\uB9AC\uAC00 \uB610 \uACE0\uC7A5\uB09C\uAC70 \uC544\uB2CC\uAC00\uC694?",explain:"\uBABB \uB4E4\uC740 \uAC78\uB85C \uD558\uACA0\uC2B5\uB2C8\uB2E4!"},{text:"\uC704\uC758 \uBB38\uC7A5\uC740 \uB108\uBB34 \uC9E7\uC544\uC11C, \uB354 \uAE34 \uBB38\uC7A5\uC744 \uC785\uB825\uD574\uC57C \uD569\uB2C8\uB2E4.",explain:"\uC624\uB2F5\uC785\uB2C8\uB2E4. \uB9E4\uC6B0 \uAE34 \uD14D\uC2A4\uD2B8\uB294 \uD30C\uC774\uD504\uB77C\uC778\uC5D0\uC11C \uCC98\uB9AC\uD560 \uB54C \uC798\uB9AC\uAC8C \uB418\uB294 \uAC83\uC744 \uBA85\uC2EC\uD558\uC138\uC694."}]}}),se=new x({}),ie=new _({props:{choices:[{text:"\uB3D9\uC77C\uD55C \uB370\uC774\uD130\uC14B\uC73C\uB85C \uD559\uC2B5\uD560 \uB54C, \uC0AC\uC804 \uD559\uC2B5\uB41C \uBAA8\uB378\uC758 \uC9C0\uC2DD\uC774 \uC0C8\uB85C\uC6B4 \uBAA8\uB378\uB85C \uC804\uB2EC\uB418\uB294 \uAC83",explain:"\uD2C0\uB838\uC2B5\uB2C8\uB2E4, \uC774\uB7F0 \uACBD\uC6B0 \uB3D9\uC77C\uD55C \uBAA8\uB378\uC774 \uB450 \uAC1C \uC788\uB294 \uAC83\uACFC \uB611\uAC19\uC2B5\uB2C8\uB2E4."},{text:"\uC0AC\uC804 \uD559\uC2B5\uB41C \uBAA8\uB378\uC758 \uAC00\uC911\uCE58\uB85C \uC0C8\uB85C\uC6B4 \uBAA8\uB378\uC744 \uCD08\uAE30\uD654\uD560 \uB54C, \uC0AC\uC804 \uD559\uC2B5\uB41C \uBAA8\uB378\uC758 \uC9C0\uC2DD\uC774 \uC804\uB2EC\uB418\uB294 \uAC83",explain:"\uC815\uB2F5: \uC0AC\uC804 \uD559\uC2B5\uB41C \uBAA8\uB378\uC774 \uC0C8\uB85C\uC6B4 \uBAA8\uB378\uB85C \uC9C0\uC2DD\uC744 *\uC804\uC774(transfer)*\uD558\uC5EC \uC0C8\uB85C\uC6B4 \uACFC\uC81C\uC5D0 \uB300\uD55C \uD559\uC2B5\uC774 \uC774\uB8E8\uC5B4\uC9D1\uB2C8\uB2E4.",correct:!0},{text:"\uC0AC\uC804 \uD559\uC2B5\uB41C \uBAA8\uB378\uACFC \uB3D9\uC77C\uD55C \uAD6C\uC870\uC758 \uBAA8\uB378\uC744 \uC0C8\uB85C \uB9CC\uB4E4 \uB54C, \uC0AC\uC804 \uD559\uC2B5 \uBAA8\uB378\uC758 \uC9C0\uC2DD\uC774 \uC804\uB2EC\uB418\uB294 \uAC83",explain:"\uAD6C\uC870(architecture)\uB294 \uBAA8\uB378\uC774 \uB514\uC790\uC778\uB418\uB294 \uBC29\uC2DD\uC77C \uBFD0, \uC774\uB7EC\uD55C \uACBD\uC6B0 \uC9C0\uC2DD\uC774 \uACF5\uC720\uB418\uAC70\uB098 \uC804\uC774\uB418\uC9C0 \uC54A\uC2B5\uB2C8\uB2E4."}]}}),ne=new x({}),le=new _({props:{choices:[{text:"\uCC38",explain:"\uC0AC\uC804 \uD559\uC2B5 \uACFC\uC815\uC740 \uC77C\uBC18\uC801\uC73C\uB85C <em>\uC790\uAC00 \uC9C0\uB3C4(self-supervised)</em> \uBC29\uC2DD\uC785\uB2C8\uB2E4. \uC774\uB294 \uB2E4\uC74C \uB2E8\uC5B4 \uC608\uCE21 \uD639\uC740 \uB9C8\uC2A4\uD0B9 \uB41C \uB2E8\uC5B4 \uCC44\uC6B0\uAE30 \uB4F1\uACFC \uAC19\uC774 \uC785\uB825\uC73C\uB85C\uBD80\uD130 \uC790\uB3D9\uC73C\uB85C \uB808\uC774\uBE14\uC744 \uC0DD\uC131\uD558\uB294 \uAC83\uC744 \uC758\uBBF8\uD569\uB2C8\uB2E4.",correct:!0},{text:"\uAC70\uC9D3",explain:"\uC815\uB2F5\uC774 \uC544\uB2D9\uB2C8\uB2E4."}]}}),oe=new x({}),pe=new _({props:{choices:[{text:"\uBAA8\uB378\uC774 \uD558\uB098\uC758 \uBE4C\uB529\uC774\uB77C\uBA74, \uAD6C\uC870\uB294 \uCCAD\uC0AC\uC9C4\uC774\uACE0 \uAC00\uC911\uCE58\uB294 \uADF8 \uC548\uC5D0 \uC0AC\uB294 \uC0AC\uB78C\uB4E4\uC785\uB2C8\uB2E4.",explain:"\uC774\uB7EC\uD55C \uBE44\uC720\uB300\uB85C\uB77C\uBA74, \uAC00\uC911\uCE58\uB294 \uAC74\uBB3C\uC744 \uC9D3\uB294\uB370 \uC0AC\uC6A9\uD55C \uBCBD\uB3CC\uC774\uB098 \uAE30\uD0C0 \uC7AC\uB8CC\uB4E4\uC774 \uB354 \uC5B4\uC6B8\uB9AC\uACA0\uB124\uC694."},{text:"\uAD6C\uC870\uB294 \uBAA8\uB378 \uAD6C\uCD95\uC744 \uC704\uD55C \uC77C\uC885\uC758 \uC9C0\uB3C4\uC774\uACE0 \uAC00\uC911\uCE58\uB294 \uADF8 \uC9C0\uB3C4\uC5D0 \uB098\uD0C0\uB09C \uB3C4\uC2DC\uB4E4\uC5D0 \uD574\uB2F9\uD569\uB2C8\uB2E4.",explain:"\uC774 \uBE44\uC720\uC758 \uBB38\uC81C\uC810\uC740, \uC9C0\uB3C4\uB294 \uBCF4\uD1B5 \uD558\uB098\uC758 \uC2E4\uC81C \uC138\uC0C1\uB9CC\uC744 \uB098\uD0C0\uB0B8\uB2E4\uB294 \uAC83\uC785\uB2C8\uB2E4(\uD55C\uAD6D\uC5D0\uB294 \uC11C\uC6B8\uC774 \uD558\uB098\uBFD0\uC774\uC8E0). \uC2E4\uC81C\uB85C \uB3D9\uC77C\uD55C \uAD6C\uC870\uC5D0 \uB300\uD574\uC11C \uC218\uB9CE\uC740 \uB2E4\uB978 \uAC00\uC911\uCE58\uB97C \uAC00\uC9C8 \uC218 \uC788\uC2B5\uB2C8\uB2E4."},{text:"\uAD6C\uC870\uB294 \uBAA8\uB378\uC744 \uAD6C\uCD95\uD558\uAE30 \uC704\uD55C \uC218\uD559\uC801 \uD568\uC218\uC758 \uC5F0\uC18D\uC774\uACE0 \uAC00\uC911\uCE58\uB294 \uADF8 \uD568\uC218\uB4E4\uC758 \uBCC0\uC218(parameters)\uC785\uB2C8\uB2E4.",explain:"\uB3D9\uC77C\uD55C \uC14B\uC758 \uC218\uD559\uC801 \uD568\uC218(\uAD6C\uC870)\uB294 \uC11C\uB85C \uB2E4\uB978 \uBCC0\uC218(\uAC00\uC911\uCE58)\uB97C \uC0AC\uC6A9\uD574 \uAC01\uAE30 \uB2E4\uB978 \uBAA8\uB378\uC744 \uB9CC\uB4E4 \uC218 \uC788\uC2B5\uB2C8\uB2E4.",correct:!0}]}}),fe=new x({}),he=new _({props:{choices:[{text:"\uC778\uCF54\uB354 \uBAA8\uB378",explain:"\uC778\uCF54\uB354 \uBAA8\uB378\uC740 \uC804\uCCB4 \uBB38\uC7A5\uC5D0 \uB300\uD55C \uD45C\uD604\uC744 \uC0DD\uC131\uD558\uBBC0\uB85C \uBD84\uB958\uC5D0 \uB354 \uC801\uD569\uD569\uB2C8\uB2E4."},{text:"\uB514\uCF54\uB354 \uBAA8\uB378",explain:"\uB514\uCF54\uB354 \uBAA8\uB378\uC740 \uD504\uB86C\uD2B8\uB85C\uBD80\uD130 \uD14D\uC2A4\uD2B8\uB97C \uC0DD\uC131\uD558\uB294 \uB370\uC5D0 \uCD5C\uC801\uC758 \uBAA8\uB378\uC785\uB2C8\uB2E4.",correct:!0},{text:"\uC2DC\uD000\uC2A4-\uD22C-\uC2DC\uD000\uC2A4 \uBAA8\uB378",explain:"\uC2DC\uD000\uC2A4-\uD22C-\uC2DC\uD000\uC2A4 \uBAA8\uB378\uC740 \uC8FC\uC5B4\uC9C4 \uD504\uB86C\uD2B8\uAC00 \uC544\uB2CC, \uC785\uB825 \uBB38\uC7A5\uACFC \uAD00\uB828 \uC788\uB294 \uBB38\uC7A5\uC744 \uC0DD\uC131\uD558\uB294 \uB370\uC5D0 \uB354 \uC801\uD569\uD569\uB2C8\uB2E4."}]}}),$e=new x({}),me=new _({props:{choices:[{text:"\uC778\uCF54\uB354 \uBAA8\uB378",explain:"\uC778\uCF54\uB354 \uBAA8\uB378\uC740 \uC804\uCCB4 \uBB38\uC7A5\uC5D0 \uB300\uD55C \uD45C\uD604\uC744 \uC0DD\uC131\uD558\uBBC0\uB85C \uBD84\uB958\uC5D0 \uB354 \uC801\uD569\uD569\uB2C8\uB2E4."},{text:"\uB514\uCF54\uB354 \uBAA8\uB378",explain:"\uB514\uCF54\uB354 \uBAA8\uB378 \uB610\uD55C (\uC694\uC57D\uACFC \uAC19\uC774) 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