transformers/pr_34547/ko/_app/immutable/nodes/26.e5cebea2.js

import{s as Ye,n as Ze,o as et}from"../chunks/scheduler.bdbef820.js";import{S as tt,i as rt,g as o,s as a,r as m,A as st,h as l,f as t,c as n,j as $,u as i,x as N,k as _,y as c,a as s,v as d,d as u,t as f,w as p}from"../chunks/index.33f81d56.js";import{D as v}from"../chunks/Docstring.64554317.js";import{H as ae,E as at}from"../chunks/EditOnGithub.a9246e21.js";function nt(qe){let b,ne,re,oe,P,le,T,He="이 페이지는 <code>utils.py</code> 파일에 있는 Transformers의 일반 유틸리티 함수들을 나열합니다.",me,L,je="이 함수들 대부분은 라이브러리의 일반적인 코드를 연구할 때만 유용합니다.",ie,C,de,h,D,De,Q,Be="Enum with more explicit error message for missing values.",ue,y,M,Me,W,Ue=`Possible values for the <code>padding</code> argument in <a href="/docs/transformers/pr_34547/ko/internal/tokenization_utils#transformers.PreTrainedTokenizerBase.__call__">PreTrainedTokenizerBase.<strong>call</strong>()</a>. Useful for tab-completion in an
IDE.`,fe,x,z,ze,X,Ae=`Possible values for the <code>return_tensors</code> argument in <a href="/docs/transformers/pr_34547/ko/internal/tokenization_utils#transformers.PreTrainedTokenizerBase.__call__">PreTrainedTokenizerBase.<strong>call</strong>()</a>. Useful for
tab-completion in an IDE.`,pe,k,ce,S,I,ge,V,q,$e,H,j,_e,B,U,ve,A,G,be,F,he,g,K,ke,Y,Ge="Descriptor that mimics @property but caches output in member variable.",Se,Z,Fe="From tensorflow_datasets",Ie,ee,Ke="Built-in in functools from Python 3.8.",ye,O,xe,E,R,Ve,te,Oe="Module class that surfaces all objects but only performs associated imports when the objects are requested.",Ee,J,Ne,se,we;return P=new ae({props:{title:"일반 유틸리티 (General Utilities)",local:"general-utilities",headingTag:"h1"}}),C=new ae({props:{title:"Enums 및 namedtuples",local:"transformers.utils.ExplicitEnum ][ transformers.utils.ExplicitEnum",headingTag:"h2"}}),D=new v({props:{name:"class transformers.utils.ExplicitEnum",anchor:"transformers.utils.ExplicitEnum",parameters:[{name:"value",val:""},{name:"names",val:" = None"},{name:"module",val:" = None"},{name:"qualname",val:" = None"},{name:"type",val:" = None"},{name:"start",val:" = 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v({props:{name:"transformers.utils.add_code_sample_docstrings",anchor:"transformers.utils.add_code_sample_docstrings",parameters:[{name:"*docstr",val:""},{name:"processor_class",val:" = None"},{name:"checkpoint",val:" = None"},{name:"output_type",val:" = None"},{name:"config_class",val:" = None"},{name:"mask",val:" = '[MASK]'"},{name:"qa_target_start_index",val:" = 14"},{name:"qa_target_end_index",val:" = 15"},{name:"model_cls",val:" = None"},{name:"modality",val:" = None"},{name:"expected_output",val:" = None"},{name:"expected_loss",val:" = None"},{name:"real_checkpoint",val:" = None"},{name:"revision",val:" = None"}],source:"https://github.com/huggingface/transformers/blob/vr_34547/src/transformers/utils/doc.py#L1064"}}),G=new v({props:{name:"transformers.utils.replace_return_docstrings",anchor:"transformers.utils.replace_return_docstrings",parameters:[{name:"output_type",val:" = None"},{name:"config_class",val:" = 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