transformers.js/pr_1113/en/_app/immutable/nodes/3.cbbaca2b.js

import{s as po,n as mo,o as go}from"../chunks/scheduler.0219f8bd.js";import{S as uo,i as _o,g as d,s as n,r as f,A as ho,h as r,f as i,c as l,j as _,u as c,x as a,k as s,y as Co,a as o,v as p,d as m,t as g,w as u}from"../chunks/index.f61edf3b.js";import{C as co}from"../chunks/CodeBlock.38e566ae.js";import{H as h,E as $o}from"../chunks/EditOnGithub.48fa589f.js";function yo(Ji){let C,Ee,xe,ke,$,Se,y,Ze,M,xi=`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>.`,Ke,T,Ri="<strong>Example:</strong> Load an <code>AutoConfig</code>.",Ne,b,Be,P,Ei='<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> ⇒ <code>Promise.&lt;PretrainedConfig&gt;</code></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>*</code></li></ul></li> <li><a href="#module_configs.getKeyValueShapes"><code>.getKeyValueShapes(config)</code></a> ⇒ <code>Record.&lt;string, Array&lt;number&gt;&gt;</code><ul><li><a href="#module_configs.getKeyValueShapes..decoderFeeds"><code>~decoderFeeds</code></a> : <code>Record.&lt;string, Array&lt;number&gt;&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..PretrainedOptions"><code>~PretrainedOptions</code></a> : <code>*</code></li> <li><a href="#module_configs..ProgressCallback"><code>~ProgressCallback</code></a> : <code>*</code></li> <li><a href="#module_configs..ProgressInfo"><code>~ProgressInfo</code></a> : <code>*</code></li></ul></li></ul></li>',Ie,qe,Ve,w,Oe,U,ze,v,ki=`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>.`,Qe,H,Si='<strong>Kind</strong>: static class of <a href="#module_configs"><code>configs</code></a>',Fe,L,Zi='<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> ⇒ <code>Promise.&lt;PretrainedConfig&gt;</code></li></ul></li></ul></li>',We,Ge,Ye,j,Xe,A,De,J,Ki="Create a new PreTrainedTokenizer instance.",et,x,Ni="<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>",tt,it,ot,R,nt,E,lt,k,Bi='<strong>Kind</strong>: instance property of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a>',dt,rt,st,S,at,Z,ft,K,Ii='<strong>Kind</strong>: instance property of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a>',ct,pt,mt,N,gt,B,ut,I,qi='<strong>Kind</strong>: instance property of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a>',_t,ht,Ct,q,$t,V,yt,O,Vi="Loads a pre-trained config from the given <code>pretrained_model_name_or_path</code>.",Mt,z,Oi='<strong>Kind</strong>: static method of <a href="#module_configs.PretrainedConfig"><code>PretrainedConfig</code></a><br/> <strong>Returns</strong>: <code>Promise.&lt;PretrainedConfig&gt;</code> - A new instance of the <code>PretrainedConfig</code> class.<br/> <strong>Throws</strong>:',Tt,Q,zi="<li><code>Error</code> Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.</li>",bt,F,Qi="<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>PretrainedOptions</code></td><td><p>Additional options for loading the config.</p></td></tr></tbody>",Pt,wt,Ut,W,vt,G,Ht,Y,Fi="Helper class which is used to instantiate pretrained configs with the <code>from_pretrained</code> function.",Lt,X,Wi='<strong>Kind</strong>: static class of <a href="#module_configs"><code>configs</code></a>',jt,D,Gi='<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>*</code></li></ul></li>',At,Jt,xt,ee,Rt,te,Et,ie,Yi="<strong>Example</strong>",kt,oe,St,Zt,Kt,ne,Nt,le,Bt,de,Xi='<strong>Kind</strong>: static method of <a href="#module_configs.AutoConfig"><code>AutoConfig</code></a>',It,qt,Vt,re,Ot,se,zt,ae,Di='<strong>Kind</strong>: static method of <a href="#module_configs"><code>configs</code></a>',Qt,fe,eo="<thead><tr><th>Param</th><th>Type</th></tr></thead> <tbody><tr><td>config</td><td><code>PretrainedConfig</code></td></tr></tbody>",Ft,Wt,Gt,ce,Yt,pe,Xt,me,to='<strong>Kind</strong>: inner constant of <a href="#module_configs.getKeyValueShapes"><code>getKeyValueShapes</code></a>',Dt,ei,ti,ge,ii,ue,oi,_e,io="Loads a config from the specified path.",ni,he,oo='<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.',li,Ce,no="<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>PretrainedOptions</code></td><td><p>Additional options for loading the config.</p></td></tr></tbody>",di,ri,si,$e,ai,ye,fi,Me,lo='<strong>Kind</strong>: inner method of <a href="#module_configs"><code>configs</code></a><br/> <strong>Returns</strong>: <code>Object</code> - The normalized configuration.',ci,Te,ro="<thead><tr><th>Param</th><th>Type</th></tr></thead> <tbody><tr><td>config</td><td><code>PretrainedConfig</code></td></tr></tbody>",pi,mi,gi,be,ui,Pe,_i,we,so='<strong>Kind</strong>: inner typedef of <a href="#module_configs"><code>configs</code></a>',hi,Ci,$i,Ue,yi,ve,Mi,He,ao='<strong>Kind</strong>: inner typedef of <a href="#module_configs"><code>configs</code></a>',Ti,bi,Pi,Le,wi,je,Ui,Ae,fo='<strong>Kind</strong>: inner typedef of <a href="#module_configs"><code>configs</code></a>',vi,Hi,Li,Je,ji,Re,Ai;return y=new h({props:{title:"configs",local:"configs",headingTag:"h1"}}),b=new co({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>;
<span class="hljs-keyword">const</span> config = <span class="hljs-keyword">await</span> <span class="hljs-title class_">AutoConfig</span>.<span class="hljs-title function_">from_pretrained</span>(<span class="hljs-string">&#x27;bert-base-uncased&#x27;</span>);
<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}}),U=new h({props:{title:"configs.PretrainedConfig",local:"configspretrainedconfig",headingTag:"h2"}}),A=new h({props:{title:"new PretrainedConfig(configJSON)",local:"new-pretrainedconfigconfigjson",headingTag:"h3"}}),E=new h({props:{title:"pretrainedConfig.model_type : <code> string </code> | <code> null </code>",local:"pretrainedconfigmodeltype--code-string-code--code-null-code",headingTag:"h3"}}),Z=new h({props:{title:"pretrainedConfig.is_encoder_decoder : <code> boolean </code>",local:"pretrainedconfigisencoderdecoder--code-boolean-code",headingTag:"h3"}}),B=new h({props:{title:"pretrainedConfig.max_position_embeddings : <code> number </code>",local:"pretrainedconfigmaxpositionembeddings--code-number-code",headingTag:"h3"}}),V=new h({props:{title:"PretrainedConfig.from_pretrained(pretrained_model_name_or_path, options) ⇒ <code> Promise. < PretrainedConfig > </code>",local:"pretrainedconfigfrompretrainedpretrainedmodelnameorpath-options--code-promise--pretrainedconfig--code",headingTag:"h3"}}),G=new h({props:{title:"configs.AutoConfig",local:"configsautoconfig",headingTag:"h2"}}),te=new h({props:{title:"new AutoConfig()",local:"new-autoconfig",headingTag:"h3"}}),oe=new co({props:{code:"Y29uc3QlMjBjb25maWclMjAlM0QlMjBhd2FpdCUyMEF1dG9Db25maWcuZnJvbV9wcmV0cmFpbmVkKCdYZW5vdmElMkZiZXJ0LWJhc2UtdW5jYXNlZCcpJTNCJTIw",highlighted:'<span class="hljs-keyword">const</span> config = <span class="hljs-keyword">await</span> <span class="hljs-title class_">AutoConfig</span>.<span class="hljs-title function_">from_pretrained</span>(<span class="hljs-string">&#x27;Xenova/bert-base-uncased&#x27;</span>); ',wrap:!1}}),le=new h({props:{title:"AutoConfig.from_pretrained() : <code> * </code>",local:"autoconfigfrompretrained--code--code",headingTag:"h3"}}),se=new h({props:{title:"configs.getKeyValueShapes(config) ⇒ <code> Record. < string, Array < number > > </code>",local:"configsgetkeyvalueshapesconfig--code-record--string-array--number---code",headingTag:"h2"}}),pe=new h({props:{title:"getKeyValueShapes~decoderFeeds : <code> Record. < string, Array < number > > </code>",local:"getkeyvalueshapesdecoderfeeds--code-record--string-array--number---code",headingTag:"h3"}}),ue=new h({props:{title:"configs~loadConfig(pretrained_model_name_or_path, options) ⇒ <code> Promise. < Object > </code>",local:"configsloadconfigpretrainedmodelnameorpath-options--code-promise--object--code",headingTag:"h2"}}),ye=new h({props:{title:"configs~getNormalizedConfig(config) ⇒ <code> Object </code>",local:"configsgetnormalizedconfigconfig--code-object-code",headingTag:"h2"}}),Pe=new h({props:{title:"configs~PretrainedOptions : <code> * </code>",local:"configspretrainedoptions--code--code",headingTag:"h2"}}),ve=new h({props:{title:"configs~ProgressCallback : <code> * </code>",local:"configsprogresscallback--code--code",headingTag:"h2"}}),je=new 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