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g=new up({props:{chapter:1,classNames:"absolute z-10 right-0 top-0",notebooks:[{label:"Google Colab",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/ko/chapter1/section3.ipynb"},{label:"Aws Studio",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/ko/chapter1/section3.ipynb"}]}}),D=new Oe({props:{$$slots:{default:[gp]},$$scope:{ctx:P}}}),re=new Oe({props:{$$slots:{default:[$p]},$$scope:{ctx:P}}}),De=new cp({props:{id:"tiZFewofSLM"}}),Fe=new C({props:{code:`from transformers import pipeline

classifier = pipeline("sentiment-analysis")
classifier("I've been waiting for a HuggingFace course my whole life.")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

classifier = pipeline(<span class="hljs-string">&quot;sentiment-analysis&quot;</span>)
classifier(<span class="hljs-string">&quot;I&#x27;ve been waiting for a HuggingFace course my whole life.&quot;</span>)`}}),ze=new C({props:{code:"[{'label': 'POSITIVE', 'score': 0.9598047137260437}]",highlighted:'[{<span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;POSITIVE&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9598047137260437</span>}]'}}),Le=new C({props:{code:`classifier(
    ["I've been waiting for a HuggingFace course my whole life.", "I hate this so much!"]
)`,highlighted:`classifier(
    [<span class="hljs-string">&quot;I&#x27;ve been waiting for a HuggingFace course my whole life.&quot;</span>, <span class="hljs-string">&quot;I hate this so much!&quot;</span>]
)`}}),Me=new C({props:{code:`[{'label': 'POSITIVE', 'score': 0.9598047137260437},
 {'label': 'NEGATIVE', 'score': 0.9994558095932007}]`,highlighted:`[{<span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;POSITIVE&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9598047137260437</span>},
 {<span class="hljs-string">&#x27;label&#x27;</span>: <span class="hljs-string">&#x27;NEGATIVE&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.9994558095932007</span>}]`}}),Ge=new ne({}),Be=new C({props:{code:`from transformers import pipeline

classifier = pipeline("zero-shot-classification")
classifier(
    "This is a course about the Transformers library",
    candidate_labels=["education", "politics", "business"],
)`,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>)
classifier(
    <span class="hljs-string">&quot;This is a course about the Transformers library&quot;</span>,
    candidate_labels=[<span class="hljs-string">&quot;education&quot;</span>, <span class="hljs-string">&quot;politics&quot;</span>, <span class="hljs-string">&quot;business&quot;</span>],
)`}}),Ve=new C({props:{code:`{'sequence': 'This is a course about the Transformers library',
 'labels': ['education', 'business', 'politics'],
 'scores': [0.8445963859558105, 0.111976258456707, 0.043427448719739914]}`,highlighted:`{<span class="hljs-string">&#x27;sequence&#x27;</span>: <span class="hljs-string">&#x27;This is a course about the Transformers library&#x27;</span>,
 <span class="hljs-string">&#x27;labels&#x27;</span>: [<span class="hljs-string">&#x27;education&#x27;</span>, <span class="hljs-string">&#x27;business&#x27;</span>, <span class="hljs-string">&#x27;politics&#x27;</span>],
 <span class="hljs-string">&#x27;scores&#x27;</span>: [<span class="hljs-number">0.8445963859558105</span>, <span class="hljs-number">0.111976258456707</span>, <span class="hljs-number">0.043427448719739914</span>]}`}}),ue=new Oe({props:{$$slots:{default:[dp]},$$scope:{ctx:P}}}),Ue=new ne({}),We=new C({props:{code:`from transformers import pipeline

generator = pipeline("text-generation")
generator("In this course, we will teach you how to")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

generator = pipeline(<span class="hljs-string">&quot;text-generation&quot;</span>)
generator(<span class="hljs-string">&quot;In this course, we will teach you how to&quot;</span>)`}}),Ze=new C({props:{code:`[{'generated_text': 'In this course, we will teach you how to understand and use '
                    'data flow and data interchange when handling user data. We '
                    'will be working with one or more of the most commonly used '
                    'data flows \u2014 data flows of various types, as seen by the '
                    'HTTP'}]`,highlighted:`[{<span class="hljs-string">&#x27;generated_text&#x27;</span>: <span class="hljs-string">&#x27;In this course, we will teach you how to understand and use &#x27;</span>
                    <span class="hljs-string">&#x27;data flow and data interchange when handling user data. We &#x27;</span>
                    <span class="hljs-string">&#x27;will be working with one or more of the most commonly used &#x27;</span>
                    <span class="hljs-string">&#x27;data flows \u2014 data flows of various types, as seen by the &#x27;</span>
                    <span class="hljs-string">&#x27;HTTP&#x27;</span>}]`}}),me=new Oe({props:{$$slots:{default:[_p]},$$scope:{ctx:P}}}),Qe=new ne({}),Xe=new C({props:{code:`from transformers import pipeline

generator = pipeline("text-generation", model="distilgpt2")
generator(
    "In this course, we will teach you how to",
    max_length=30,
    num_return_sequences=2,
)`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

generator = pipeline(<span class="hljs-string">&quot;text-generation&quot;</span>, model=<span class="hljs-string">&quot;distilgpt2&quot;</span>)
generator(
    <span class="hljs-string">&quot;In this course, we will teach you how to&quot;</span>,
    max_length=<span class="hljs-number">30</span>,
    num_return_sequences=<span class="hljs-number">2</span>,
)`}}),es=new C({props:{code:`[{'generated_text': 'In this course, we will teach you how to manipulate the world and '
                    'move your mental and physical capabilities to your advantage.'},
 {'generated_text': 'In this course, we will teach you how to become an expert and '
                    'practice realtime, and with a hands on experience on both real '
                    'time and real'}]`,highlighted:`[{<span class="hljs-string">&#x27;generated_text&#x27;</span>: <span class="hljs-string">&#x27;In this course, we will teach you how to manipulate the world and &#x27;</span>
                    <span class="hljs-string">&#x27;move your mental and physical capabilities to your advantage.&#x27;</span>},
 {<span class="hljs-string">&#x27;generated_text&#x27;</span>: <span class="hljs-string">&#x27;In this course, we will teach you how to become an expert and &#x27;</span>
                    <span class="hljs-string">&#x27;practice realtime, and with a hands on experience on both real &#x27;</span>
                    <span class="hljs-string">&#x27;time and real&#x27;</span>}]`}}),de=new Oe({props:{$$slots:{default:[vp]},$$scope:{ctx:P}}}),ss=new ne({}),ns=new ne({}),ls=new C({props:{code:`from transformers import pipeline

unmasker = pipeline("fill-mask")
unmasker("This course will teach you all about <mask> models.", top_k=2)`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

unmasker = pipeline(<span class="hljs-string">&quot;fill-mask&quot;</span>)
unmasker(<span class="hljs-string">&quot;This course will teach you all about &lt;mask&gt; models.&quot;</span>, top_k=<span class="hljs-number">2</span>)`}}),rs=new C({props:{code:`[{'sequence': 'This course will teach you all about mathematical models.',
  'score': 0.19619831442832947,
  'token': 30412,
  'token_str': ' mathematical'},
 {'sequence': 'This course will teach you all about computational models.',
  'score': 0.04052725434303284,
  'token': 38163,
  'token_str': ' computational'}]`,highlighted:`[{<span class="hljs-string">&#x27;sequence&#x27;</span>: <span class="hljs-string">&#x27;This course will teach you all about mathematical models.&#x27;</span>,
  <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.19619831442832947</span>,
  <span class="hljs-string">&#x27;token&#x27;</span>: <span class="hljs-number">30412</span>,
  <span class="hljs-string">&#x27;token_str&#x27;</span>: <span class="hljs-string">&#x27; mathematical&#x27;</span>},
 {<span class="hljs-string">&#x27;sequence&#x27;</span>: <span class="hljs-string">&#x27;This course will teach you all about computational models.&#x27;</span>,
  <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.04052725434303284</span>,
  <span class="hljs-string">&#x27;token&#x27;</span>: <span class="hljs-number">38163</span>,
  <span class="hljs-string">&#x27;token_str&#x27;</span>: <span class="hljs-string">&#x27; computational&#x27;</span>}]`}}),be=new Oe({props:{$$slots:{default:[wp]},$$scope:{ctx:P}}}),is=new ne({}),os=new C({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>)`}}),ps=new C({props:{code:`[{'entity_group': 'PER', 'score': 0.99816, 'word': 'Sylvain', 'start': 11, 'end': 18},
 {'entity_group': 'ORG', 'score': 0.97960, 'word': 'Hugging Face', 'start': 33, 'end': 45},
 {'entity_group': 'LOC', 'score': 0.99321, 'word': 'Brooklyn', 'start': 49, 'end': 57}
]`,highlighted:`[{<span class="hljs-string">&#x27;entity_group&#x27;</span>: <span class="hljs-string">&#x27;PER&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.99816</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;Sylvain&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">11</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">18</span>},
 {<span class="hljs-string">&#x27;entity_group&#x27;</span>: <span class="hljs-string">&#x27;ORG&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.97960</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;Hugging Face&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">33</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">45</span>},
 {<span class="hljs-string">&#x27;entity_group&#x27;</span>: <span class="hljs-string">&#x27;LOC&#x27;</span>, <span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.99321</span>, <span class="hljs-string">&#x27;word&#x27;</span>: <span class="hljs-string">&#x27;Brooklyn&#x27;</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">49</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">57</span>}
]`}}),je=new Oe({props:{$$slots:{default:[xp]},$$scope:{ctx:P}}}),fs=new ne({}),cs=new C({props:{code:`from transformers import pipeline

question_answerer = pipeline("question-answering")
question_answerer(
    question="Where do I work?",
    context="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

question_answerer = pipeline(<span class="hljs-string">&quot;question-answering&quot;</span>)
question_answerer(
    question=<span class="hljs-string">&quot;Where do I work?&quot;</span>,
    context=<span class="hljs-string">&quot;My name is Sylvain and I work at Hugging Face in Brooklyn&quot;</span>,
)`}}),us=new C({props:{code:"{'score': 0.6385916471481323, 'start': 33, 'end': 45, 'answer': 'Hugging Face'}",highlighted:'{<span class="hljs-string">&#x27;score&#x27;</span>: <span class="hljs-number">0.6385916471481323</span>, <span class="hljs-string">&#x27;start&#x27;</span>: <span class="hljs-number">33</span>, <span class="hljs-string">&#x27;end&#x27;</span>: <span class="hljs-number">45</span>, <span class="hljs-string">&#x27;answer&#x27;</span>: <span class="hljs-string">&#x27;Hugging Face&#x27;</span>}'}}),hs=new ne({}),ms=new C({props:{code:`from transformers import pipeline

summarizer = pipeline("summarization")
summarizer(
    """
    America has changed dramatically during recent years. Not only has the number of
    graduates in traditional engineering disciplines such as mechanical, civil,
    electrical, chemical, and aeronautical engineering declined, but in most of
    the premier American universities engineering curricula now concentrate on
    and encourage largely the study of engineering science. As a result, there
    are declining offerings in engineering subjects dealing with infrastructure,
    the environment, and related issues, and greater concentration on high
    technology subjects, largely supporting increasingly complex scientific
    developments. While the latter is important, it should not be at the expense
    of more traditional engineering.

    Rapidly developing economies such as China and India, as well as other
    industrial countries in Europe and Asia, continue to encourage and advance
    the teaching of engineering. Both China and India, respectively, graduate
    six and eight times as many traditional engineers as does the United States.
    Other industrial countries at minimum maintain their output, while America
    suffers an increasingly serious decline in the number of engineering graduates
    and a lack of well-educated engineers.
"""
)`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

summarizer = pipeline(<span class="hljs-string">&quot;summarization&quot;</span>)
summarizer(
    <span class="hljs-string">&quot;&quot;&quot;
    America has changed dramatically during recent years. Not only has the number of
    graduates in traditional engineering disciplines such as mechanical, civil,
    electrical, chemical, and aeronautical engineering declined, but in most of
    the premier American universities engineering curricula now concentrate on
    and encourage largely the study of engineering science. As a result, there
    are declining offerings in engineering subjects dealing with infrastructure,
    the environment, and related issues, and greater concentration on high
    technology subjects, largely supporting increasingly complex scientific
    developments. While the latter is important, it should not be at the expense
    of more traditional engineering.

    Rapidly developing economies such as China and India, as well as other
    industrial countries in Europe and Asia, continue to encourage and advance
    the teaching of engineering. Both China and India, respectively, graduate
    six and eight times as many traditional engineers as does the United States.
    Other industrial countries at minimum maintain their output, while America
    suffers an increasingly serious decline in the number of engineering graduates
    and a lack of well-educated engineers.
&quot;&quot;&quot;</span>
)`}}),gs=new C({props:{code:`[{'summary_text': ' America has changed dramatically during recent years . The '
                  'number of engineering graduates in the U.S. has declined in '
                  'traditional engineering disciplines such as mechanical, civil '
                  ', electrical, chemical, and aeronautical engineering . Rapidly '
                  'developing economies such as China and India, as well as other '
                  'industrial countries in Europe and Asia, continue to encourage '
                  'and advance engineering .'}]`,highlighted:`[{<span class="hljs-string">&#x27;summary_text&#x27;</span>: <span class="hljs-string">&#x27; America has changed dramatically during recent years . The &#x27;</span>
                  <span class="hljs-string">&#x27;number of engineering graduates in the U.S. has declined in &#x27;</span>
                  <span class="hljs-string">&#x27;traditional engineering disciplines such as mechanical, civil &#x27;</span>
                  <span class="hljs-string">&#x27;, electrical, chemical, and aeronautical engineering . Rapidly &#x27;</span>
                  <span class="hljs-string">&#x27;developing economies such as China and India, as well as other &#x27;</span>
                  <span class="hljs-string">&#x27;industrial countries in Europe and Asia, continue to encourage &#x27;</span>
                  <span class="hljs-string">&#x27;and advance engineering .&#x27;</span>}]`}}),$s=new ne({}),_s=new C({props:{code:`from transformers import pipeline

translator = pipeline("translation", model="Helsinki-NLP/opus-mt-fr-en")
translator("Ce cours est produit par Hugging Face.")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

translator = pipeline(<span class="hljs-string">&quot;translation&quot;</span>, model=<span class="hljs-string">&quot;Helsinki-NLP/opus-mt-fr-en&quot;</span>)
translator(<span class="hljs-string">&quot;Ce cours est produit par Hugging Face.&quot;</span>)`}}),vs=new C({props:{code:"[{'translation_text': 'This course is produced by Hugging Face.'}]",highlighted:'[{<span class="hljs-string">&#x27;translation_text&#x27;</span>: <span class="hljs-string">&#x27;This course is produced by Hugging Face.&#x27;</span>}]'}}),Ae=new Oe({props:{$$slots:{default:[Ep]},$$scope:{ctx:P}}}),{c(){u=r("meta"),_=f(),$=r("h1"),d=n("\uD2B8\uB79C\uC2A4\uD3EC\uBA38\uB85C \uBB34\uC5C7\uC744 \uD560 \uC218 \uC788\uB098\uC694?"),h=f(),E(g.$$.fragment),v=f(),k=r("p"),O=n("\uC774\uBC88 \uC7A5\uC5D0\uC11C\uB294 \uD2B8\uB79C\uC2A4\uD3EC\uBA38(Transformer) \uBAA8\uB378\uC744 \uC0AC\uC6A9\uD574 \uBB34\uC5C7\uC744 \uD560 \uC218 \uC788\uB294\uC9C0 \uAC19\uC774 \uC0B4\uD3B4\uBCF4\uACE0,  \u{1F917} Transformers \uB77C\uC774\uBE0C\uB7EC\uB9AC \uD234\uC758 \uCCAB \uC0AC\uC6A9\uC744 "),I=r("code"),T=n("pipeline()"),H=n(" \uD568\uC218\uC640 \uD568\uAED8 \uC2DC\uC791\uD558\uACA0\uC2B5\uB2C8\uB2E4."),q=f(),E(D.$$.fragment),L=f(),z=r("h2"),zn=n("\uD2B8\uB79C\uC2A4\uD3EC\uBA38\uB294 \uC5B4\uB514\uC5D0\uB098 \uC788\uC5B4\uC694!"),ea=f(),xs=r("p"),Ln=n("\uD2B8\uB79C\uC2A4\uD3EC\uBA38 \uBAA8\uB378\uC740 \uC774\uC804 \uB2E8\uC6D0\uC5D0\uC11C \uC5B8\uAE09\uD55C \uC791\uC5C5\uACFC \uAC19\uC740 \uBAA8\uB4E0 NLP \uBB38\uC81C\uB97C \uD574\uACB0\uD558\uAE30 \uC704\uD574 \uC0AC\uC6A9\uB429\uB2C8\uB2E4. \uC544\uB798\uC640 \uAC19\uC774 Hugging Face\uC640 \uD2B8\uB79C\uC2A4\uD3EC\uBA38 \uBAA8\uB378\uC744 \uC774\uC6A9\uD558\uACE0 \uB2E4\uC2DC \uBAA8\uB378\uC744 \uACF5\uC720\uD558\uC5EC \uCEE4\uBBA4\uB2C8\uD2F0\uC5D0 \uAE30\uC5EC\uD558\uB294 \uB9CE\uC740 \uAE30\uC5C5\uACFC \uAE30\uAD00\uC774 \uC788\uC2B5\uB2C8\uB2E4:"),sa=f(),le=r("img"),ta=f(),W=r("p"),Te=r("a"),Mn=n("\u{1F917} Transformers \uB77C\uC774\uBE0C\uB7EC\uB9AC"),Rn=n("\uB294 \uC774\uB807\uAC8C \uACF5\uC720\uD55C \uBAA8\uB378\uC744 \uC0AC\uC6A9\uD558\uACE0 \uAD6C\uCD95\uD558\uB294 \uAE30\uB2A5\uB4E4\uC744 \uC81C\uACF5\uD569\uB2C8\uB2E4. 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