transformers.js/pr_1659/en/_app/immutable/nodes/3.774ffc19.js

import{s as Nn,n as kn,o as En}from"../chunks/scheduler.6efaaf90.js";import{S as Sn,i as On,e as s,s as l,c as d,h as Zn,a as r,d as i,b as o,f as _,g as m,j as f,k as a,l as Kn,m as n,n as p,t as c,o as g,p as u}from"../chunks/index.eb3e1f0f.js";import{C as In,H as h,E as Bn}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.7d47e4cc.js";import{C as Rn}from"../chunks/CodeBlock.22fdcd30.js";function qn(Xi){let C,Be,Ke,qe,$,ze,M,Ve,y,Qe,T,Di=`Helper module for using model configs. For more information, see the corresponding
<a href="https://huggingface.co/docs/transformers/main/en/model_doc/auto#transformers.AutoConfig" rel="nofollow">Python documentation</a>.`,We,b,en="<strong>Example:</strong> Load an <code>AutoConfig</code>.",Ge,P,Ye,w,tn='<li><a href="#module_configs">configs</a> <ul><li><em>static</em> <ul><li><a href="#module_configs.PretrainedConfig">.PretrainedConfig</a> <ul><li><a href="#new_module_configs.PretrainedConfig_new"><code>new PretrainedConfig(configJSON)</code></a></li> <li><em>instance</em> <ul><li><a href="#module_configs.PretrainedConfig+model_type"><code>.model_type</code></a> : <code>string</code> | <code>null</code></li> <li><a href="#module_configs.PretrainedConfig+is_encoder_decoder"><code>.is_encoder_decoder</code></a> : <code>boolean</code></li> <li><a href="#module_configs.PretrainedConfig+max_position_embeddings"><code>.max_position_embeddings</code></a> : <code>number</code></li></ul></li> <li><em>static</em> <ul><li><a href="#module_configs.PretrainedConfig.from_pretrained"><code>.from_pretrained(pretrained_model_name_or_path, options)</code></a> ⇒ <a href="#PretrainedConfig"><code>Promise.&lt;PretrainedConfig&gt;</code></a></li></ul></li></ul></li> <li><a href="#module_configs.AutoConfig">.AutoConfig</a> <ul><li><a href="#new_module_configs.AutoConfig_new"><code>new AutoConfig()</code></a></li> <li><a href="#module_configs.AutoConfig.from_pretrained"><code>.from_pretrained()</code></a> : <code>Object.from_pretrained</code></li></ul></li> <li><a href="#module_configs.getCacheNames"><code>.getCacheNames(config, [options])</code></a> ⇒ <code>Set.&lt;string&gt;</code> <ul><li><a href="#module_configs.getCacheNames..names"><code>~names</code></a> : <code>Set.&lt;string&gt;</code></li></ul></li></ul></li> <li><em>inner</em> <ul><li><a href="#module_configs..loadConfig"><code>~loadConfig(pretrained_model_name_or_path, options)</code></a> ⇒ <code>Promise.&lt;Object&gt;</code></li> <li><a href="#module_configs..getNormalizedConfig"><code>~getNormalizedConfig(config)</code></a> ⇒ <code>Object</code></li> <li><a href="#module_configs..getKeyValueNames"><code>~getKeyValueNames(config, [options])</code></a> ⇒ <code>Set.&lt;string&gt;</code> <ul><li><a href="#module_configs..getKeyValueNames..names"><code>~names</code></a> : <code>Set.&lt;string&gt;</code></li></ul></li> <li><a href="#module_configs..PretrainedOptions"><code>~PretrainedOptions</code></a> : <a href="#PretrainedOptions"><code>PretrainedOptions</code></a></li> <li><a href="#module_configs..ProgressCallback"><code>~ProgressCallback</code></a> : <code>ProgressCallback</code></li> <li><a href="#module_configs..ProgressInfo"><code>~ProgressInfo</code></a> : <code>ProgressInfo</code></li></ul></li></ul></li>',Fe,Xe,De,v,et,H,tt,U,nn=`Base class for all configuration classes. For more information, see the corresponding
<a href="https://huggingface.co/docs/transformers/main/en/main_classes/configuration#transformers.PretrainedConfig" rel="nofollow">Python documentation</a>.`,it,L,ln='<strong>Kind</strong>: static class of <a href="#module_configs"><code>configs</code></a>',nt,j,on='<li><a href="#module_configs.PretrainedConfig">.PretrainedConfig</a> <ul><li><a href="#new_module_configs.PretrainedConfig_new"><code>new PretrainedConfig(configJSON)</code></a></li> <li><em>instance</em> <ul><li><a href="#module_configs.PretrainedConfig+model_type"><code>.model_type</code></a> : <code>string</code> | <code>null</code></li> <li><a href="#module_configs.PretrainedConfig+is_encoder_decoder"><code>.is_encoder_decoder</code></a> : <code>boolean</code></li> <li><a href="#module_configs.PretrainedConfig+max_position_embeddings"><code>.max_position_embeddings</code></a> : <code>number</code></li></ul></li> <li><em>static</em> <ul><li><a href="#module_configs.PretrainedConfig.from_pretrained"><code>.from_pretrained(pretrained_model_name_or_path, options)</code></a> ⇒ <a href="#PretrainedConfig"><code>Promise.&lt;PretrainedConfig&gt;</code></a></li></ul></li></ul></li>',lt,ot,st,x,rt,J,at,A,sn="Create a new PreTrainedTokenizer instance.",ft,R,rn="<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>configJSON</td><td><code>Object</code></td><td><p>The JSON of the config.</p></td></tr></tbody>",dt,mt,pt,N,ct,k,gt,E,an='<strong>Kind</strong>: instance property of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a>',ut,_t,ht,S,Ct,O,$t,Z,fn='<strong>Kind</strong>: instance property of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a>',Mt,yt,Tt,K,bt,I,Pt,B,dn='<strong>Kind</strong>: instance property of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a>',wt,vt,Ht,q,Ut,z,Lt,V,mn="Loads a pre-trained config from the given <code>pretrained_model_name_or_path</code>.",jt,Q,pn='<strong>Kind</strong>: static method of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a><br/> <strong>Returns</strong>: <a href="#PretrainedConfig"><code>Promise.&lt;PretrainedConfig&gt;</code></a> - A new instance of the <code>PretrainedConfig</code> class.<br/> <strong>Throws</strong>:',xt,W,cn="<li><code>Error</code> Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.</li>",Jt,G,gn='<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>pretrained_model_name_or_path</td><td><code>string</code></td><td><p>The path to the pre-trained config.</p></td> </tr><tr><td>options</td><td><code><a href="#PretrainedOptions">PretrainedOptions</a></code></td><td><p>Additional options for loading the config.</p></td></tr></tbody>',At,Rt,Nt,Y,kt,F,Et,X,un="Helper class which is used to instantiate pretrained configs with the <code>from_pretrained</code> function.",St,D,_n='<strong>Kind</strong>: static class of <a href="#module_configs"><code>configs</code></a>',Ot,ee,hn='<li><a href="#module_configs.AutoConfig">.AutoConfig</a> <ul><li><a href="#new_module_configs.AutoConfig_new"><code>new AutoConfig()</code></a></li> <li><a href="#module_configs.AutoConfig.from_pretrained"><code>.from_pretrained()</code></a> : <code>Object.from_pretrained</code></li></ul></li>',Zt,Kt,It,te,Bt,ie,qt,ne,Cn="<strong>Example</strong>",zt,le,Vt,Qt,Wt,oe,Gt,se,Yt,re,$n='<strong>Kind</strong>: static method of <a href="#module_configs.AutoConfig"><code>AutoConfig</code></a>',Ft,Xt,Dt,ae,ei,fe,ti,de,Mn='<strong>Kind</strong>: static method of <a href="#module_configs"><code>configs</code></a>',ii,me,yn='<thead><tr><th>Param</th><th>Type</th></tr></thead> <tbody><tr><td>config</td><td><code><a href="#PretrainedConfig">PretrainedConfig</a></code></td> </tr><tr><td>[options]</td><td><code>Object</code></td></tr></tbody>',ni,li,oi,pe,si,ce,ri,ge,Tn='<strong>Kind</strong>: inner constant of <a href="#module_configs.getCacheNames"><code>getCacheNames</code></a>',ai,fi,di,ue,mi,_e,pi,he,bn="Loads a config from the specified path.",ci,Ce,Pn='<strong>Kind</strong>: inner method of <a href="#module_configs"><code>configs</code></a><br/> <strong>Returns</strong>: <code>Promise.&lt;Object&gt;</code> - A promise that resolves with information about the loaded config.',gi,$e,wn='<thead><tr><th>Param</th><th>Type</th><th>Description</th></tr></thead> <tbody><tr><td>pretrained_model_name_or_path</td><td><code>string</code></td><td><p>The path to the config directory.</p></td> </tr><tr><td>options</td><td><code><a href="#PretrainedOptions">PretrainedOptions</a></code></td><td><p>Additional options for loading the config.</p></td></tr></tbody>',ui,_i,hi,Me,Ci,ye,$i,Te,vn='<strong>Kind</strong>: inner method of <a href="#module_configs"><code>configs</code></a><br/> <strong>Returns</strong>: <code>Object</code> - The normalized configuration.',Mi,be,Hn='<thead><tr><th>Param</th><th>Type</th></tr></thead> <tbody><tr><td>config</td><td><code><a href="#PretrainedConfig">PretrainedConfig</a></code></td></tr></tbody>',yi,Ti,bi,Pe,Pi,we,wi,ve,Un='<strong>Kind</strong>: inner method of <a href="#module_configs"><code>configs</code></a>',vi,He,Ln='<thead><tr><th>Param</th><th>Type</th></tr></thead> <tbody><tr><td>config</td><td><code><a href="#PretrainedConfig">PretrainedConfig</a></code></td> </tr><tr><td>[options]</td><td><code>Object</code></td></tr></tbody>',Hi,Ui,Li,Ue,ji,Le,xi,je,jn='<strong>Kind</strong>: inner constant of <a href="#module_configs..getKeyValueNames"><code>getKeyValueNames</code></a>',Ji,Ai,Ri,xe,Ni,Je,ki,Ae,xn='<strong>Kind</strong>: inner typedef of <a href="#module_configs"><code>configs</code></a>',Ei,Si,Oi,Re,Zi,Ne,Ki,ke,Jn='<strong>Kind</strong>: inner typedef of <a href="#module_configs"><code>configs</code></a>',Ii,Bi,qi,Ee,zi,Se,Vi,Oe,An='<strong>Kind</strong>: inner typedef of <a href="#module_configs"><code>configs</code></a>',Qi,Wi,Gi,Ze,Yi,Ie,Fi;return M=new In({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),y=new h({props:{title:"configs",local:"configs",headingTag:"h1"}}),P=new Rn({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> { <span class="hljs-title class_">AutoConfig</span> } <span class="hljs-keyword">from</span> <span class="hljs-string">&#x27;@huggingface/transformers&#x27;</span>;
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<span class="hljs-variable language_">console</span>.<span class="hljs-title function_">log</span>(config);
<span class="hljs-comment">// PretrainedConfig {</span>
<span class="hljs-comment">//   &quot;model_type&quot;: &quot;bert&quot;,</span>
<span class="hljs-comment">//   &quot;is_encoder_decoder&quot;: false,</span>
<span class="hljs-comment">//   &quot;architectures&quot;: [</span>
<span class="hljs-comment">//       &quot;BertForMaskedLM&quot;</span>
<span class="hljs-comment">//   ],</span>
<span class="hljs-comment">//   &quot;vocab_size&quot;: 30522</span>
<span class="hljs-comment">//   &quot;num_attention_heads&quot;: 12,</span>
<span class="hljs-comment">//   &quot;num_hidden_layers&quot;: 12,</span>
<span class="hljs-comment">//   &quot;hidden_size&quot;: 768,</span>
<span class="hljs-comment">//   &quot;max_position_embeddings&quot;: 512,</span>
<span class="hljs-comment">//   ...</span>
<span class="hljs-comment">// }</span>`,wrap:!1}}),H=new h({props:{title:"configs.PretrainedConfig",local:"configspretrainedconfig",headingTag:"h2"}}),J=new h({props:{title:"new PretrainedConfig(configJSON)",local:"new-pretrainedconfigconfigjson",headingTag:"h3"}}),k=new h({props:{title:"pretrainedConfig.model_type : string | null",local:"pretrainedconfigmodeltype--string--null",headingTag:"h3"}}),O=new h({props:{title:"pretrainedConfig.is_encoder_decoder : boolean",local:"pretrainedconfigisencoderdecoder--boolean",headingTag:"h3"}}),I=new h({props:{title:"pretrainedConfig.max_position_embeddings : number",local:"pretrainedconfigmaxpositionembeddings--number",headingTag:"h3"}}),z=new h({props:{title:"PretrainedConfig.from_pretrained(pretrained_model_name_or_path, options) ⇒ Promise. < PretrainedConfig >",local:"pretrainedconfigfrompretrainedpretrainedmodelnameorpath-options--promise--pretrainedconfig-",headingTag:"h3"}}),F=new 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