import{s as Ut,n as Nt,o as Rt}from"../chunks/scheduler.9991993c.js";import{S as Bt,i as Zt,g as s,s as a,r as d,A as Gt,h as i,f as r,c as n,j as v,u as c,x as l,k as $,y as t,a as p,v as u,d as f,t as h,w as g}from"../chunks/index.7fc9a5e7.js";import{D as _}from"../chunks/Docstring.0d7e3ebb.js";import{H as Ye,E as Kt}from"../chunks/EditOnGithub.84ab7f0e.js";function Xt(wt){let F,Ce,we,ye,A,Te,I,Ft="此页面列出了库为pipelines提供的所有实用程序功能。",Le,V,Ct="其中大多数只有在您研究库中模型的代码时才有用。",He,W,Ee,C,q,et,ae,yt='Base interface for handling arguments for each <a href="/docs/transformers/pr_29969/zh/main_classes/pipelines#transformers.Pipeline">Pipeline</a>.',ke,y,z,tt,ne,Tt=`Handles arguments for zero-shot for text classification by turning each possible label into an NLI
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Where to look for the input data.`,name:"input_path"},{anchor:"transformers.PipelineDataFormat.from_str.column",description:`<strong>column</strong> (<code>str</code>, <em>optional</em>) &#x2014;
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<p>The proper data format.</p>
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<p><a
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`}}),N=new _({props:{name:"save",anchor:"transformers.PipelineDataFormat.save",parameters:[{name:"data",val:": Union"}],parametersDescription:[{anchor:"transformers.PipelineDataFormat.save.data",description:"<strong>data</strong> (<code>dict</code> or list of <code>dict</code>) &#x2014; The data to store.",name:"data"}],source:"https://github.com/huggingface/transformers/blob/vr_29969/src/transformers/pipelines/base.py#L502"}}),R=new _({props:{name:"save_binary",anchor:"transformers.PipelineDataFormat.save_binary",parameters:[{name:"data",val:": Union"}],parametersDescription:[{anchor:"transformers.PipelineDataFormat.save_binary.data",description:"<strong>data</strong> (<code>dict</code> or list of <code>dict</code>) &#x2014; The data to store.",name:"data"}],source:"https://github.com/huggingface/transformers/blob/vr_29969/src/transformers/pipelines/base.py#L512",returnDescription:`<script context="module">export const metadata = 'undefined';<\/script>


<p>Path where the data has been saved.</p>
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<p><code>str</code></p>
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