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Init project

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  1. 404.html +1 -0
  2. _next/static/chunks/123-a6d2101f21b1dc81.js +1 -0
  3. _next/static/chunks/190-8c3f29b77c1f7978.js +0 -0
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  11. _next/static/chunks/app/layout-0e0c053c92ad2f81.js +1 -0
  12. _next/static/chunks/app/page-d8efbd597c53f3cc.js +1 -0
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  15. _next/static/chunks/framework-aec844d2ccbe7592.js +0 -0
  16. _next/static/chunks/main-app-5420370b676a56f3.js +1 -0
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  22. _next/static/css/c07dfed9e589ce2b.css +0 -0
  23. _next/static/sS3KCrv4R0AkB6q5rvqSN/_buildManifest.js +1 -0
  24. _next/static/sS3KCrv4R0AkB6q5rvqSN/_ssgManifest.js +1 -0
  25. favicon.ico +0 -0
  26. icons/android-icon-192x192.png +0 -0
  27. icons/android-icon-512x512.png +0 -0
  28. icons/apple-icon-16x16.png +0 -0
  29. icons/apple-icon-32x32.png +0 -0
  30. icons/apple-icon.png +0 -0
  31. icons/safari-pinned-tab.svg +18 -0
  32. icons/share.png +0 -0
  33. index.html +134 -19
  34. index.txt +8 -0
  35. manifest.json +29 -0
  36. sw.js +1 -0
  37. tamagui.css +0 -0
  38. vercel.svg +4 -0
  39. workbox-c06b064f.js +1 -0
404.html ADDED
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Use `tokenizer.batch_decode(...)` for batched inputs.");return e.tolist()[0];default:throw Error(`Expected tensor to have 1-2 dimensions, got ${t.length}.`)}}function _(e){return e.replace(/ \./g,".").replace(/ \?/g,"?").replace(/ \!/g,"!").replace(/ ,/g,",").replace(/ \' /g,"'").replace(/ n\'t/g,"n't").replace(/ \'m/g,"'m").replace(/ \'s/g,"'s").replace(/ \'ve/g,"'ve").replace(/ \'re/g,"'re")}function p(e){return e.replace(/[\u0300-\u036f]/g,"")}let f="\\p{P}\\u0021-\\u002F\\u003A-\\u0040\\u005B-\\u0060\\u007B-\\u007E",g=new Map([["(?i:'s|'t|'re|'ve|'m|'ll|'d)","(?:'([sS]|[tT]|[rR][eE]|[vV][eE]|[mM]|[lL][lL]|[dD]))"]]);class m{constructor(e){this.content=e.content,this.id=e.id,this.single_word=e.single_word??!1,this.lstrip=e.lstrip??!1,this.rstrip=e.rstrip??!1,this.special=e.special??!1,this.normalized=e.normalized??null}}class k extends n.Ag{constructor(e){super(),this.config=e,this.vocab=[],this.tokens_to_ids=new Map,this.unk_token_id=void 0,this.unk_token=void 0,this.end_of_word_suffix=void 0,this.fuse_unk=this.config.fuse_unk??!1}static fromConfig(e,...t){switch(e.type){case"WordPiece":return new x(e);case"Unigram":return new w(e,...t);case"BPE":return new v(e);default:if(e.vocab)return new z(e,...t);throw Error(`Unknown TokenizerModel type: ${e.type}`)}}_call(e){let t=this.encode(e);return this.fuse_unk&&(t=function(e,t,s){let n=[],i=0;for(;i<e.length;){if(n.push(e[i]),(s.get(e[i])??t)!==t){++i;continue}for(;i<e.length&&(s.get(e[i])??t)===t;)++i}return n}(t,this.unk_token_id,this.tokens_to_ids)),t}encode(e){throw Error("encode should be implemented in subclass.")}convert_tokens_to_ids(e){return e.map(e=>this.tokens_to_ids.get(e)??this.unk_token_id)}convert_ids_to_tokens(e){return e.map(e=>this.vocab[e]??this.unk_token)}}class x extends k{constructor(e){for(let[t,s]of(super(e),this.tokens_to_ids=u(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.max_input_chars_per_word=e.max_input_chars_per_word??100,this.vocab=Array(this.tokens_to_ids.size),this.tokens_to_ids))this.vocab[s]=t}encode(e){let t=[];for(let s of e){let e=[...s];if(e.length>this.max_input_chars_per_word){t.push(this.unk_token);continue}let n=!1,i=0,r=[];for(;i<e.length;){let t=e.length,s=null;for(;i<t;){let n=e.slice(i,t).join("");if(i>0&&(n=this.config.continuing_subword_prefix+n),this.tokens_to_ids.has(n)){s=n;break}--t}if(null===s){n=!0;break}r.push(s),i=t}n?t.push(this.unk_token):t.push(...r)}return t}}class w extends k{constructor(e,t){super(e);let s=e.vocab.length;this.vocab=Array(s),this.scores=Array(s);for(let t=0;t<s;++t){let s=e.vocab[t];this.vocab[t]=s[0],this.scores[t]=s[1]}this.unk_token_id=e.unk_id,this.unk_token=this.vocab[e.unk_id],this.tokens_to_ids=new Map(this.vocab.map((e,t)=>[e,t])),this.bosToken=" ",this.bosTokenId=this.tokens_to_ids.get(this.bosToken),this.eosToken=t.eos_token,this.eosTokenId=this.tokens_to_ids.get(this.eosToken),this.unkToken=this.vocab[this.unk_token_id],this.minScore=(0,r.VV)(this.scores)[0],this.unkScore=this.minScore-10,this.scores[this.unk_token_id]=this.unkScore,this.trie=new a.GA,this.trie.extend(this.vocab),this.fuse_unk=!0}populateNodes(e){let t=e.sentence,s=t.length,n=0;for(;n<s;){let s=!1,i=[];for(let r of this.trie.commonPrefixSearch(t.slice(n))){i.push(r);let t=this.tokens_to_ids.get(r),o=this.scores[t],a=r.length;e.insert(n,a,o,t),s||1!==a||(s=!0)}s||e.insert(n,1,this.unkScore,this.unk_token_id),n+=1}}tokenize(e){let t=new a.pQ(e,this.bosTokenId,this.eosTokenId);return this.populateNodes(t),t.tokens()}encode(e){let t=[];for(let s of e){let e=this.tokenize(s);t.push(...e)}return t}}let y=(()=>{let e=[...Array.from({length:94},(e,t)=>t+33),...Array.from({length:12},(e,t)=>t+161),...Array.from({length:82},(e,t)=>t+174)],t=e.slice(),s=0;for(let n=0;n<256;++n)e.includes(n)||(e.push(n),t.push(256+s),s+=1);let n=t.map(e=>String.fromCharCode(e));return Object.fromEntries(e.map((e,t)=>[e,n[t]]))})(),b=(0,n.$2)(y);class v extends k{constructor(e){for(let[t,s]of(super(e),this.BPE_SPLIT_TOKEN=" ",this.tokens_to_ids=u(e.vocab),this.unk_token_id=this.tokens_to_ids.get(e.unk_token),this.unk_token=e.unk_token,this.vocab=Array(this.tokens_to_ids.size),this.tokens_to_ids))this.vocab[s]=t;this.bpe_ranks=new Map(e.merges.map((e,t)=>[e,t])),this.merges=e.merges.map(e=>e.split(this.BPE_SPLIT_TOKEN)),this.end_of_word_suffix=e.end_of_word_suffix,this.continuing_subword_suffix=e.continuing_subword_suffix??null,this.byte_fallback=this.config.byte_fallback??!1,this.byte_fallback&&(this.text_encoder=new TextEncoder),this.cache=new Map}bpe(e){if(0===e.length)return[];let t=this.cache.get(e);if(void 0!==t)return t;let s=Array.from(e);this.end_of_word_suffix&&(s[s.length-1]+=this.end_of_word_suffix);let n=[];if(s.length>1){let e=new a.Z3((e,t)=>e.score<t.score),t={token:s[0],bias:0,prev:null,next:null},i=t;for(let t=1;t<s.length;++t){let n={bias:t/s.length,token:s[t],prev:i,next:null};i.next=n,this._add_node(e,i),i=n}for(;!e.isEmpty();){let s=e.pop();if(s.deleted||!s.next||s.next.deleted)continue;if(s.deleted=!0,s.next.deleted=!0,s.prev){let e={...s.prev};s.prev.deleted=!0,s.prev=e,e.prev?e.prev.next=e:t=e}let n={token:s.token+s.next.token,bias:s.bias,prev:s.prev,next:s.next.next};n.prev?(n.prev.next=n,this._add_node(e,n.prev)):t=n,n.next&&(n.next.prev=n,this._add_node(e,n))}for(let e=t;null!==e;e=e.next)n.push(e.token)}else n=s;if(this.continuing_subword_suffix)for(let e=0;e<n.length-1;++e)n[e]+=this.continuing_subword_suffix;return this.cache.set(e,n),n}_add_node(e,t){let s=this.bpe_ranks.get(t.token+this.BPE_SPLIT_TOKEN+t.next.token);void 0!==s&&(t.score=s+t.bias,e.push(t))}encode(e){let t=[];for(let s of e)for(let e of this.bpe(s))this.tokens_to_ids.has(e)?t.push(e):this.byte_fallback?t.push(...Array.from(this.text_encoder.encode(e)).map(e=>`<0x${e.toString(16).toUpperCase().padStart(2,"0")}>`)):t.push(this.unk_token);return t}}class z extends k{constructor(e,t){for(let[s,n]of(super(e),this.tokens_to_ids=u(t.target_lang?e.vocab[t.target_lang]:e.vocab),this.bos_token=t.bos_token,this.bos_token_id=this.tokens_to_ids.get(this.bos_token),this.eos_token=t.eos_token,this.eos_token_id=this.tokens_to_ids.get(this.eos_token),this.pad_token=t.pad_token,this.pad_token_id=this.tokens_to_ids.get(this.pad_token),this.unk_token=t.unk_token,this.unk_token_id=this.tokens_to_ids.get(this.unk_token),this.vocab=Array(this.tokens_to_ids.size),this.tokens_to_ids))this.vocab[n]=s}encode(e){return e}}class A extends n.Ag{constructor(e){super(),this.config=e}static fromConfig(e){if(null===e)return null;switch(e.type){case"BertNormalizer":return new N(e);case"Precompiled":return new eo(e);case"Sequence":return new R(e);case"Replace":return new S(e);case"NFC":return new E(e);case"NFKC":return new T(e);case"NFKD":return new C(e);case"Strip":return new j(e);case"StripAccents":return new M(e);case"Lowercase":return new P(e);case"Prepend":return new $(e);default:throw Error(`Unknown Normalizer type: ${e.type}`)}}normalize(e){throw Error("normalize should be implemented in subclass.")}_call(e){return this.normalize(e)}}class S extends A{normalize(e){let t=h(this.config.pattern);return null===t?e:e.replaceAll(t,this.config.content)}}class E extends A{normalize(e){return e=e.normalize("NFC")}}class T extends A{normalize(e){return e=e.normalize("NFKC")}}class C extends A{normalize(e){return e=e.normalize("NFKD")}}class j extends A{normalize(e){return this.config.strip_left&&this.config.strip_right?e=e.trim():(this.config.strip_left&&(e=e.trimStart()),this.config.strip_right&&(e=e.trimEnd())),e}}class M extends A{normalize(e){return e=p(e)}}class P extends A{normalize(e){return e=e.toLowerCase()}}class $ extends A{normalize(e){return e=this.config.prepend+e}}class R extends A{constructor(e){super(e),this.normalizers=e.normalizers.map(e=>A.fromConfig(e))}normalize(e){return this.normalizers.reduce((e,t)=>t.normalize(e),e)}}class N extends A{_tokenize_chinese_chars(e){let t=[];for(let s=0;s<e.length;++s){let n=e[s],i=n.charCodeAt(0);this._is_chinese_char(i)?(t.push(" "),t.push(n),t.push(" ")):t.push(n)}return t.join("")}_is_chinese_char(e){return e>=19968&&e<=40959||e>=13312&&e<=19903||e>=131072&&e<=173791||e>=173824&&e<=177983||e>=177984&&e<=178207||e>=178208&&e<=183983||e>=63744&&e<=64255||e>=194560&&e<=195103}stripAccents(e){return e.normalize("NFD").replace(/[\u0300-\u036f]/g,"")}_is_control(e){switch(e){case" ":case"\n":case"\r":return!1;default:return/^\p{Cc}|\p{Cf}|\p{Co}|\p{Cs}$/u.test(e)}}_clean_text(e){let t=[];for(let s of e){let e=s.charCodeAt(0);0===e||65533===e||this._is_control(s)||(/^\s$/.test(s)?t.push(" "):t.push(s))}return t.join("")}normalize(e){return this.config.clean_text&&(e=this._clean_text(e)),this.config.handle_chinese_chars&&(e=this._tokenize_chinese_chars(e)),this.config.lowercase?(e=e.toLowerCase(),!1!==this.config.strip_accents&&(e=this.stripAccents(e))):this.config.strip_accents&&(e=this.stripAccents(e)),e}}class F extends n.Ag{static fromConfig(e){if(null===e)return null;switch(e.type){case"BertPreTokenizer":return new L(e);case"Sequence":return new ea(e);case"Whitespace":return new el(e);case"WhitespaceSplit":return new ec(e);case"Metaspace":return new ei(e);case"ByteLevel":return new O(e);case"Split":return new U(e);case"Punctuation":return new W(e);case"Digits":return new G(e);case"Replace":return new eh(e);default:throw Error(`Unknown PreTokenizer type: ${e.type}`)}}pre_tokenize_text(e,t){throw Error("pre_tokenize_text should be implemented in subclass.")}pre_tokenize(e,t){return(Array.isArray(e)?e.map(e=>this.pre_tokenize_text(e,t)):this.pre_tokenize_text(e,t)).flat()}_call(e,t){return this.pre_tokenize(e,t)}}class L extends F{constructor(e){super(),this.pattern=RegExp(`[^\\s${f}]+|[${f}]`,"gu")}pre_tokenize_text(e,t){return e.trim().match(this.pattern)||[]}}class O extends F{constructor(e){super(),this.config=e,this.add_prefix_space=this.config.add_prefix_space,this.trim_offsets=this.config.trim_offsets,this.use_regex=this.config.use_regex??!0,this.pattern=/'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+/gu,this.byte_encoder=y,this.text_encoder=new TextEncoder}pre_tokenize_text(e,t){return this.add_prefix_space&&!e.startsWith(" ")&&(e=" "+e),(this.use_regex?e.match(this.pattern)||[]:[e]).map(e=>Array.from(this.text_encoder.encode(e),e=>this.byte_encoder[e]).join(""))}}class U extends F{constructor(e){super(),this.config=e,this.pattern=h(this.config.pattern,this.config.invert)}pre_tokenize_text(e,t){return null===this.pattern?[]:this.config.invert?e.match(this.pattern)||[]:function(e,t){let s=[],n=0;for(let i of e.matchAll(t)){let t=i[0];n<i.index&&s.push(e.slice(n,i.index)),t.length>0&&s.push(t),n=i.index+t.length}return n<e.length&&s.push(e.slice(n)),s}(e,this.pattern)}}class W extends F{constructor(e){super(),this.config=e,this.pattern=RegExp(`[^${f}]+|[${f}]+`,"gu")}pre_tokenize_text(e,t){return e.match(this.pattern)||[]}}class G extends F{constructor(e){super(),this.config=e;let t=`[^\\d]+|\\d${this.config.individual_digits?"":"+"}`;this.pattern=RegExp(t,"gu")}pre_tokenize_text(e,t){return e.match(this.pattern)||[]}}class I extends n.Ag{constructor(e){super(),this.config=e}static fromConfig(e){if(null===e)return null;switch(e.type){case"TemplateProcessing":return new q(e);case"ByteLevel":return new Y(e);case"RobertaProcessing":return new D(e);case"BertProcessing":return new B(e);default:throw Error(`Unknown PostProcessor type: ${e.type}`)}}post_process(e,...t){throw Error("post_process should be implemented in subclass.")}_call(e,...t){return this.post_process(e,...t)}}class B extends I{constructor(e){super(e),this.cls=e.cls[0],this.sep=e.sep[0]}post_process(e,t=null,{add_special_tokens:s=!0}={}){s&&(e=(0,n.eG)([this.cls],e,[this.sep]));let i=Array(e.length).fill(0);if(null!==t){let r=s&&this instanceof D?[this.sep]:[],o=s?[this.sep]:[];e=(0,n.eG)(e,r,t,o),i=(0,n.eG)(i,Array(t.length+r.length+o.length).fill(1))}return{tokens:e,token_type_ids:i}}}class D extends B{}class q extends I{constructor(e){super(e),this.single=e.single,this.pair=e.pair}post_process(e,t=null,{add_special_tokens:s=!0}={}){let i=null===t?this.single:this.pair,r=[],o=[];for(let a of i)"SpecialToken"in a?s&&(r.push(a.SpecialToken.id),o.push(a.SpecialToken.type_id)):"Sequence"in a&&("A"===a.Sequence.id?(r=(0,n.eG)(r,e),o=(0,n.eG)(o,Array(e.length).fill(a.Sequence.type_id))):"B"===a.Sequence.id&&(r=(0,n.eG)(r,t),o=(0,n.eG)(o,Array(t.length).fill(a.Sequence.type_id))));return{tokens:r,token_type_ids:o}}}class Y extends I{post_process(e,t=null){return t&&(e=(0,n.eG)(e,t)),{tokens:e}}}class K extends n.Ag{constructor(e){super(),this.config=e,this.added_tokens=[],this.end_of_word_suffix=null,this.trim_offsets=e.trim_offsets}static fromConfig(e){if(null===e)return null;switch(e.type){case"WordPiece":return new Q(e);case"Metaspace":return new er(e);case"ByteLevel":return new X(e);case"Replace":return new Z(e);case"ByteFallback":return new V(e);case"Fuse":return new H(e);case"Strip":return new J(e);case"Sequence":return new et(e);case"CTC":return new ee(e);case"BPEDecoder":return new es(e);default:throw Error(`Unknown Decoder type: ${e.type}`)}}_call(e){return this.decode(e)}decode(e){return this.decode_chain(e).join("")}decode_chain(e){throw Error("`decode_chain` should be implemented in subclass.")}}class Z extends K{decode_chain(e){let t=h(this.config.pattern);return null===t?e:e.map(e=>e.replaceAll(t,this.config.content))}}class V extends K{constructor(e){super(e),this.text_decoder=new TextDecoder}decode_chain(e){let t=[],s=[];for(let n of e){let e=null;if(6===n.length&&n.startsWith("<0x")&&n.endsWith(">")){let t=parseInt(n.slice(3,5),16);isNaN(t)||(e=t)}if(null!==e)s.push(e);else{if(s.length>0){let e=this.text_decoder.decode(Uint8Array.from(s));t.push(e),s=[]}t.push(n)}}if(s.length>0){let e=this.text_decoder.decode(Uint8Array.from(s));t.push(e),s=[]}return t}}class H extends K{decode_chain(e){return[e.join("")]}}class J extends K{constructor(e){super(e),this.content=this.config.content,this.start=this.config.start,this.stop=this.config.stop}decode_chain(e){return e.map(e=>{let t=0;for(let s=0;s<this.start;++s){if(e[s]===this.content){t=s+1;continue}break}let s=e.length;for(let t=0;t<this.stop;++t){let n=e.length-t-1;if(e[n]===this.content){s=n;continue}break}return e.slice(t,s)})}}class Q extends K{constructor(e){super(e),this.cleanup=e.cleanup}decode_chain(e){return e.map((e,t)=>(0!==t&&(e=e.startsWith(this.config.prefix)?e.replace(this.config.prefix,""):" "+e),this.cleanup&&(e=_(e)),e))}}class X extends K{constructor(e){super(e),this.byte_decoder=b,this.text_decoder=new TextDecoder("utf-8",{fatal:!1,ignoreBOM:!0}),this.end_of_word_suffix=null}convert_tokens_to_string(e){let t=new Uint8Array([...e.join("")].map(e=>this.byte_decoder[e]));return this.text_decoder.decode(t)}decode_chain(e){let t=[],s=[];for(let n of e)void 0!==this.added_tokens.find(e=>e.content===n)?(s.length>0&&(t.push(this.convert_tokens_to_string(s)),s=[]),t.push(n)):s.push(n);return s.length>0&&t.push(this.convert_tokens_to_string(s)),t}}class ee extends K{constructor(e){super(e),this.pad_token=this.config.pad_token,this.word_delimiter_token=this.config.word_delimiter_token,this.cleanup=this.config.cleanup}convert_tokens_to_string(e){if(0===e.length)return"";let t=[e[0]];for(let s=1;s<e.length;++s)e[s]!==t.at(-1)&&t.push(e[s]);let s=t.filter(e=>e!==this.pad_token).join("");return this.cleanup&&(s=_(s).replaceAll(this.word_delimiter_token," ").trim()),s}decode_chain(e){return[this.convert_tokens_to_string(e)]}}class et extends K{constructor(e){super(e),this.decoders=e.decoders.map(e=>K.fromConfig(e))}decode_chain(e){return this.decoders.reduce((e,t)=>t.decode_chain(e),e)}}class es extends K{constructor(e){super(e),this.suffix=this.config.suffix}decode_chain(e){return e.map((t,s)=>t.replaceAll(this.suffix,s===e.length-1?"":" "))}}class en extends K{decode_chain(e){let t="";for(let s=1;s<e.length;s+=2)t+=e[s];return[t]}}class ei extends F{constructor(e){super(),this.addPrefixSpace=e.add_prefix_space,this.replacement=e.replacement,this.strRep=e.str_rep||this.replacement,this.prepend_scheme=e.prepend_scheme??"always"}pre_tokenize_text(e,{section_index:t}={}){let s=e.replaceAll(" ",this.strRep);return this.addPrefixSpace&&!s.startsWith(this.replacement)&&("always"===this.prepend_scheme||"first"===this.prepend_scheme&&0===t)&&(s=this.strRep+s),[s]}}class er extends K{constructor(e){super(e),this.addPrefixSpace=e.add_prefix_space,this.replacement=e.replacement}decode_chain(e){let t=[];for(let s=0;s<e.length;++s){let n=e[s].replaceAll(this.replacement," ");this.addPrefixSpace&&0==s&&n.startsWith(" ")&&(n=n.substring(1)),t.push(n)}return t}}class eo extends A{constructor(e){super(e),this.charsmap=e.precompiled_charsmap}normalize(e){return e=(e=(e=e.replace(/[\u0001-\u0008\u000B\u000E-\u001F\u007F\u008F\u009F]/gm,"")).replace(/[\u0009\u000A\u000C\u000D\u1680\u200B\u200C\u200E\u200F\u2028\u2029\u2581\uFEFF\uFFFD]/gm," ")).includes("～")?e.split("～").map(e=>e.normalize("NFKC")).join("～"):e.normalize("NFKC")}}class ea extends F{constructor(e){super(),this.tokenizers=e.pretokenizers.map(e=>F.fromConfig(e))}pre_tokenize_text(e,t){return this.tokenizers.reduce((e,s)=>s.pre_tokenize(e,t),[e])}}class el extends F{constructor(e){super()}pre_tokenize_text(e,t){return e.match(/\w+|[^\w\s]+/g)||[]}}class ec extends F{constructor(e){super()}pre_tokenize_text(e,t){return e.match(/\S+/g)||[]}}class eh extends F{constructor(e){super(),this.config=e,this.pattern=h(this.config.pattern),this.content=this.config.content}pre_tokenize_text(e,t){return null===this.pattern?[e]:[e.replaceAll(this.pattern,this.config.content)]}}let eu=["bos_token","eos_token","unk_token","sep_token","pad_token","cls_token","mask_token"];class ed extends n.Ag{return_token_type_ids=!1;_default_chat_template=`{% for message in messages %}{{'<|im_start|>' + message['role'] + '
2
+ ' + message['content'] + '<|im_end|>' + '
3
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
4
+ ' }}{% endif %}`;constructor(e,t){for(let s of(super(),this._tokenizer_config=t,this.normalizer=A.fromConfig(e.normalizer),this.pre_tokenizer=F.fromConfig(e.pre_tokenizer),this.model=k.fromConfig(e.model,t),this.post_processor=I.fromConfig(e.post_processor),this.decoder=K.fromConfig(e.decoder),this.special_tokens=[],this.all_special_ids=[],this.added_tokens=[],e.added_tokens)){let e=new m(s);this.added_tokens.push(e),this.model.tokens_to_ids.set(e.content,e.id),this.model.vocab[e.id]=e.content,e.special&&(this.special_tokens.push(e.content),this.all_special_ids.push(e.id))}if(this.additional_special_tokens=t.additional_special_tokens??[],this.special_tokens.push(...this.additional_special_tokens),this.special_tokens=[...new Set(this.special_tokens)],this.decoder&&(this.decoder.added_tokens=this.added_tokens,this.decoder.end_of_word_suffix=this.model.end_of_word_suffix),this.added_tokens_regex=this.added_tokens.length>0?new RegExp(this.added_tokens.map(e=>`${e.lstrip?"\\s*":""}(${(0,n.hr)(e.content)})${e.rstrip?"\\s*":""}`).join("|")):null,this.mask_token=this.getToken("mask_token"),this.mask_token_id=this.model.tokens_to_ids.get(this.mask_token),this.pad_token=this.getToken("pad_token","eos_token"),this.pad_token_id=this.model.tokens_to_ids.get(this.pad_token),this.sep_token=this.getToken("sep_token"),this.sep_token_id=this.model.tokens_to_ids.get(this.sep_token),this.unk_token=this.getToken("unk_token"),this.unk_token_id=this.model.tokens_to_ids.get(this.unk_token),this.model_max_length=t.model_max_length,this.remove_space=t.remove_space,this.clean_up_tokenization_spaces=t.clean_up_tokenization_spaces??!0,this.do_lowercase_and_remove_accent=t.do_lowercase_and_remove_accent??!1,this.padding_side="right",this.legacy=!1,this.chat_template=t.chat_template??null,Array.isArray(this.chat_template)){let e=Object.create(null);for(let{name:t,template:s}of this.chat_template){if("string"!=typeof t||"string"!=typeof s)throw Error('Chat template must be a list of objects with "name" and "template" properties');e[t]=s}this.chat_template=e}this._compiled_template_cache=new Map}getToken(...e){for(let t of e){let e=this._tokenizer_config[t];if(e){if("object"!=typeof e)return e;if("AddedToken"===e.__type)return e.content;throw Error(`Unknown token: ${e}`)}}return null}static async from_pretrained(e,{progress_callback:t=null,config:s=null,cache_dir:n=null,local_files_only:i=!1,revision:r="main",legacy:o=null}={}){return new this(...await c(e,{progress_callback:t,config:s,cache_dir:n,local_files_only:i,revision:r,legacy:o}))}_call(e,{text_pair:t=null,add_special_tokens:s=!0,padding:i=!1,truncation:a=null,max_length:l=null,return_tensor:c=!0}={}){let h;let u=Array.isArray(e);if(u){if(0===e.length)throw Error("text array must be non-empty");if(null!==t){if(Array.isArray(t)){if(e.length!==t.length)throw Error("text and text_pair must have the same length")}else throw Error("text_pair must also be an array");h=e.map((e,n)=>this._encode_plus(e,t[n],{add_special_tokens:s}))}else h=e.map(e=>this._encode_plus(e,null,{add_special_tokens:s}))}else{if(null==e)throw Error("text may not be null or undefined");if(Array.isArray(t))throw Error("When specifying `text_pair`, since `text` is a string, `text_pair` must also be a string (i.e., not an array).");h=[this._encode_plus(e,t,{add_special_tokens:s})]}if(null===l?l="max_length"===i?this.model_max_length:(0,r.Fp)(h.map(e=>e.input_ids.length))[0]:a||console.warn("Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=true` to explicitly truncate examples to max length."),l=Math.min(l,this.model_max_length),i||a)for(let e=0;e<h.length;++e)h[e].input_ids.length!==l&&(h[e].input_ids.length>l?a&&function(e,t){for(let s of Object.keys(e))e[s].length=t}(h[e],l):i&&function(e,t,s,i){for(let r of Object.keys(e)){let o=t-e[r].length,a=s(r),l=Array(o).fill(a);e[r]="right"===i?(0,n.eG)(e[r],l):(0,n.eG)(l,e[r])}}(h[e],l,e=>"input_ids"===e?this.pad_token_id:0,this.padding_side));let d={};if(c){if(!(i&&a)&&h.some(e=>{for(let t of Object.keys(e))if(e[t].length!==h[0][t]?.length)return!0;return!1}))throw Error("Unable to create tensor, you should probably activate truncation and/or padding with 'padding=true' and 'truncation=true' to have batched tensors with the same length.");let e=[h.length,h[0].input_ids.length];for(let t of Object.keys(h[0]))d[t]=new o.es("int64",BigInt64Array.from(h.flatMap(e=>e[t]).map(BigInt)),e)}else{for(let e of Object.keys(h[0]))d[e]=h.map(t=>t[e]);if(!u)for(let e of Object.keys(d))d[e]=d[e][0]}return d}_encode_text(e){return null===e?null:(this.added_tokens_regex?e.split(this.added_tokens_regex).filter(e=>e):[e]).map((e,t)=>{if(void 0!==this.added_tokens.find(t=>t.content===e))return e;{if(!0===this.remove_space&&(e=e.trim().split(/\s+/).join(" ")),this.do_lowercase_and_remove_accent&&(e=p(e.toLowerCase())),null!==this.normalizer&&(e=this.normalizer(e)),0===e.length)return[];let s=null!==this.pre_tokenizer?this.pre_tokenizer(e,{section_index:t}):[e];return this.model(s)}}).flat()}_encode_plus(e,t=null,{add_special_tokens:s=!0}={}){let i=this._encode_text(e),r=this._encode_text(t),o=this.post_processor?this.post_processor(i,r,{add_special_tokens:s}):{tokens:(0,n.eG)(i??[],r??[])},a=this.model.convert_tokens_to_ids(o.tokens),l={input_ids:a,attention_mask:Array(a.length).fill(1)};return this.return_token_type_ids&&o.token_type_ids&&(l.token_type_ids=o.token_type_ids),l}encode(e,t=null,{add_special_tokens:s=!0}={}){let{input_ids:n}=this._encode_plus(e,t,{add_special_tokens:s});return n}batch_decode(e,t={}){return e instanceof o.es&&(e=e.tolist()),e.map(e=>this.decode(e,t))}decode(e,t={}){if(e instanceof o.es&&(e=d(e)),!Array.isArray(e)||0===e.length||!(0,n.Wy)(e[0]))throw Error("token_ids must be a non-empty array of integers.");return this.decode_single(e,t)}decode_single(e,{skip_special_tokens:t=!1,clean_up_tokenization_spaces:s=null}){let n=this.model.convert_ids_to_tokens(e);t&&(n=n.filter(e=>!this.special_tokens.includes(e)));let i=this.decoder?this.decoder(n):n.join(" ");return this.decoder&&this.decoder.end_of_word_suffix&&(i=i.replaceAll(this.decoder.end_of_word_suffix," "),t&&(i=i.trim())),(s??this.clean_up_tokenization_spaces)&&(i=_(i)),i}get default_chat_template(){return this._warned_about_chat_template||(console.warn("No chat template is defined for this tokenizer - using a default chat template that implements the ChatML format. If the default is not appropriate for your model, please set `tokenizer.chat_template` to an appropriate template. See https://huggingface.co/docs/transformers/main/chat_templating for more information."),this._warned_about_chat_template=!0),this._default_chat_template}apply_chat_template(e,{chat_template:t=null,add_generation_prompt:s=!1,tokenize:n=!0,padding:i=!1,truncation:r=!1,max_length:o=null,return_tensor:a=!0,tokenizer_kwargs:c={},...h}={}){if(this.chat_template&&"object"==typeof this.chat_template||null===this.chat_template&&this.default_chat_template&&"object"==typeof this.default_chat_template){let e=this.chat_template??this.default_chat_template;if(null!==t&&Object.hasOwn(e,t))t=e[t];else if(null===t&&"default"in e)t=e.default;else if(null===t)throw Error(`This model has multiple chat templates with no default specified! Please either pass a chat template or the name of the template you wish to use to the 'chat_template' argument. Available template names are ${Object.keys(e).sort()}.`)}else t??=this.chat_template??this.default_chat_template;if("string"!=typeof t)throw Error(`chat_template must be a string, but got ${typeof t}`);let u=this._compiled_template_cache.get(t);void 0===u&&(u=new l.YS(t),this._compiled_template_cache.set(t,u));let d=Object.create(null);for(let e of eu){let t=this.getToken(e);t&&(d[e]=t)}let _=u.render({messages:e,add_generation_prompt:s,...d,...h});return n?this._call(_,{add_special_tokens:!1,padding:i,truncation:r,max_length:o,return_tensor:a,...c}).input_ids:_}}class e_ extends ed{return_token_type_ids=!0}class ep extends ed{return_token_type_ids=!0}class ef extends ed{return_token_type_ids=!0}class eg extends ed{return_token_type_ids=!0}class em extends ed{return_token_type_ids=!0}class ek extends ed{return_token_type_ids=!0}class ex extends ed{return_token_type_ids=!0}class ew extends ed{return_token_type_ids=!0}class ey extends ed{return_token_type_ids=!0}class eb extends ed{}class ev extends ed{}class ez extends ed{return_token_type_ids=!0;constructor(e,t){super(e,t),console.warn('WARNING: `XLMTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}}class eA extends ed{return_token_type_ids=!0}class eS extends ed{}class eE extends ed{_default_chat_template='{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}'}class eT extends ed{}class eC extends ed{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{2}_[A-Z]{2}$/,this.language_codes=this.special_tokens.filter(e=>this.languageRegex.test(e)),this.lang_to_token=e=>e}_build_translation_inputs(e,t,s){return eB(this,e,t,s)}}class ej extends eC{}class eM extends ed{}class eP extends eE{constructor(e,t){let s=".,!?…。，、।۔،",n=e.pre_tokenizer?.pretokenizers[0]?.pattern;n&&n.Regex===` ?[^(\\s|[${s}])]+`&&(n.Regex=` ?[^\\s${s}]+`),super(e,t)}}class e$ extends ed{_default_chat_template=`{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif USE_DEFAULT_PROMPT == true and not '<<SYS>>' in messages[0]['content'] %}{% set loop_messages = messages %}{% set system_message = 'DEFAULT_SYSTEM_MESSAGE' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>
5
+ ' + system_message + '
6
+ <</SYS>>
7
+
8
+ ' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>
9
+ ' + content.strip() + '
10
+ <</SYS>>
11
+
12
+ ' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}`;DEFAULT_SYSTEM_PROMPT="You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.";constructor(e,t){super(e,t),this.use_default_system_prompt=t.use_default_system_prompt??!1,this.legacy=t.legacy??!0,this.legacy||(this.normalizer=null,this.pre_tokenizer=new ei({replacement:"▁",add_prefix_space:!0,prepend_scheme:"first"}))}_encode_text(e){if(null===e)return null;if(this.legacy||0===e.length)return super._encode_text(e);let t=super._encode_text("▁"+e.replaceAll("▁"," "));return t.length>1&&"▁"===t[0]&&this.special_tokens.includes(t[1])&&(t=t.slice(1)),t}get default_chat_template(){return super.default_chat_template.replaceAll("USE_DEFAULT_PROMPT",this.use_default_system_prompt?"true":"false").replaceAll("DEFAULT_SYSTEM_MESSAGE",this.DEFAULT_SYSTEM_PROMPT.replaceAll("\n","\\n").replaceAll("'","\\'"))}}class eR extends e${}class eN extends ed{}class eF extends ed{}class eL extends ed{}class eO extends ed{}class eU extends ed{}class eW extends ed{}class eG extends ed{_default_chat_template="{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}"}class eI extends ed{}function eB(e,t,s,n){if(!("language_codes"in e)||!Array.isArray(e.language_codes))throw Error("Tokenizer must have `language_codes` attribute set and it should be an array of language ids.");if(!("languageRegex"in e)||!(e.languageRegex instanceof RegExp))throw Error("Tokenizer must have `languageRegex` attribute set and it should be a regular expression.");if(!("lang_to_token"in e)||"function"!=typeof e.lang_to_token)throw Error("Tokenizer must have `lang_to_token` attribute set and it should be a function.");let i=n.src_lang,r=n.tgt_lang;if(!e.language_codes.includes(r))throw Error(`Target language code "${r}" is not valid. Must be one of: {${e.language_codes.join(", ")}}`);if(void 0!==i){if(!e.language_codes.includes(i))throw Error(`Source language code "${i}" is not valid. Must be one of: {${e.language_codes.join(", ")}}`);for(let t of e.post_processor.config.single)if("SpecialToken"in t&&e.languageRegex.test(t.SpecialToken.id)){t.SpecialToken.id=e.lang_to_token(i);break}}return n.forced_bos_token_id=e.model.convert_tokens_to_ids([e.lang_to_token(r)])[0],e._call(t,s)}class eD extends ed{constructor(e,t){super(e,t),this.languageRegex=/^[a-z]{3}_[A-Z][a-z]{3}$/,this.language_codes=this.special_tokens.filter(e=>this.languageRegex.test(e)),this.lang_to_token=e=>e}_build_translation_inputs(e,t,s){return eB(this,e,t,s)}}class eq extends ed{constructor(e,t){super(e,t),this.languageRegex=/^__[a-z]{2,3}__$/,this.language_codes=this.special_tokens.filter(e=>this.languageRegex.test(e)).map(e=>e.slice(2,-2)),this.lang_to_token=e=>`__${e}__`}_build_translation_inputs(e,t,s){return eB(this,e,t,s)}}let eY=[["en","english"],["zh","chinese"],["de","german"],["es","spanish"],["ru","russian"],["ko","korean"],["fr","french"],["ja","japanese"],["pt","portuguese"],["tr","turkish"],["pl","polish"],["ca","catalan"],["nl","dutch"],["ar","arabic"],["sv","swedish"],["it","italian"],["id","indonesian"],["hi","hindi"],["fi","finnish"],["vi","vietnamese"],["he","hebrew"],["uk","ukrainian"],["el","greek"],["ms","malay"],["cs","czech"],["ro","romanian"],["da","danish"],["hu","hungarian"],["ta","tamil"],["no","norwegian"],["th","thai"],["ur","urdu"],["hr","croatian"],["bg","bulgarian"],["lt","lithuanian"],["la","latin"],["mi","maori"],["ml","malayalam"],["cy","welsh"],["sk","slovak"],["te","telugu"],["fa","persian"],["lv","latvian"],["bn","bengali"],["sr","serbian"],["az","azerbaijani"],["sl","slovenian"],["kn","kannada"],["et","estonian"],["mk","macedonian"],["br","breton"],["eu","basque"],["is","icelandic"],["hy","armenian"],["ne","nepali"],["mn","mongolian"],["bs","bosnian"],["kk","kazakh"],["sq","albanian"],["sw","swahili"],["gl","galician"],["mr","marathi"],["pa","punjabi"],["si","sinhala"],["km","khmer"],["sn","shona"],["yo","yoruba"],["so","somali"],["af","afrikaans"],["oc","occitan"],["ka","georgian"],["be","belarusian"],["tg","tajik"],["sd","sindhi"],["gu","gujarati"],["am","amharic"],["yi","yiddish"],["lo","lao"],["uz","uzbek"],["fo","faroese"],["ht","haitian creole"],["ps","pashto"],["tk","turkmen"],["nn","nynorsk"],["mt","maltese"],["sa","sanskrit"],["lb","luxembourgish"],["my","myanmar"],["bo","tibetan"],["tl","tagalog"],["mg","malagasy"],["as","assamese"],["tt","tatar"],["haw","hawaiian"],["ln","lingala"],["ha","hausa"],["ba","bashkir"],["jw","javanese"],["su","sundanese"]],eK=new Map(eY),eZ=new Map([...eY.map(([e,t])=>[t,e]),["burmese","my"],["valencian","ca"],["flemish","nl"],["haitian","ht"],["letzeburgesch","lb"],["pushto","ps"],["panjabi","pa"],["moldavian","ro"],["moldovan","ro"],["sinhalese","si"],["castilian","es"]]);class eV extends ed{_default_chat_template='{% for message in messages %}" "{{ message.content }}{{ eos_token }}" "{% endfor %}';_decode_asr(e,{return_timestamps:t=!1,return_language:s=!1,time_precision:n=null,force_full_sequences:i=!0}={}){if(null===n)throw Error("Must specify time_precision");let o=null,a="word"===t;function l(){return{language:o,timestamp:[null,null],text:""}}let c=[],h=l(),u=0,d=this.model.convert_tokens_to_ids(["<|notimestamps|>"])[0]+1,_=[],p=[],f=!1,g=null,m=new Set(this.all_special_ids);for(let s of e){let e=s.tokens,i=a?s.token_timestamps:null,k=null,x=d;if("stride"in s){let[t,i,r]=s.stride;if(u-=i,g=t-r,i&&(x=i/n+d),r)for(let t=e.length-1;t>=0;--t){let s=e[t];if(s>=d){if(null!==k&&(s-d)*n<g)break;k=s}}}let w=[],y=[];for(let s=0;s<e.length;++s){let g=e[s];if(m.has(g)){let e=this.decode([g]),s=eK.get(e.slice(2,-2));if(void 0!==s){if(null!==o&&s!==o&&!t){_.push(w);let e=this.findLongestCommonSequence(_)[0],t=this.decode(e);h.text=t,c.push(h),_=[],w=[],h=l()}o=h.language=s}}else if(g>=d){let e=(g-d)*n+u,t=(0,r.NM)(e,2);if(null!==k&&g>=k)f=!0;else if(f||_.length>0&&g<x)f=!1;else if(null===h.timestamp[0])h.timestamp[0]=t;else if(t===h.timestamp[0]);else{h.timestamp[1]=t,_.push(w),a&&p.push(y);let[e,s]=this.findLongestCommonSequence(_,p),n=this.decode(e);h.text=n,a&&(h.words=this.collateWordTimestamps(e,s,o)),c.push(h),_=[],w=[],p=[],y=[],h=l()}}else if(w.push(g),a){let e,t=(0,r.NM)(i[s]+u,2);e=s+1<i.length?(0,r.NM)(i[s+1]+u,2):null,y.push([t,e])}}if("stride"in s){let[e,t,n]=s.stride;u+=e-n}w.length>0?(_.push(w),a&&p.push(y)):_.every(e=>0===e.length)&&(h=l(),_=[],w=[],p=[],y=[])}if(_.length>0){if(i&&t)throw Error("Whisper did not predict an ending timestamp, which can happen if audio is cut off in the middle of a word. Also make sure WhisperTimeStampLogitsProcessor was used during generation.");let[e,s]=this.findLongestCommonSequence(_,p),n=this.decode(e);h.text=n,a&&(h.words=this.collateWordTimestamps(e,s,o)),c.push(h)}let k=Object.create(null),x=c.map(e=>e.text).join("");if(t||s){for(let e=0;e<c.length;++e){let n=c[e];t||delete n.timestamp,s||delete n.language}if(a){let e=[];for(let t of c)for(let s of t.words)e.push(s);k={chunks:e}}else k={chunks:c}}return[x,k]}findLongestCommonSequence(e,t=null){let s=e[0],n=s.length,i=[],r=Array.isArray(t)&&t.length>0,o=r?[]:null,a=r?t[0]:null;for(let l=1;l<e.length;++l){let c=e[l],h=0,u=[n,n,0,0],d=c.length;for(let e=1;e<n+d;++e){let t=e/1e4,i=Math.max(0,n-e),r=Math.min(n,n+d-e),o=s.slice(i,r),a=Math.max(0,e-n),l=Math.min(d,e),_=c.slice(a,l);if(o.length!==_.length)throw Error("There is a bug within whisper `decode_asr` function, please report it. Dropping to prevent bad inference.");let p=o.filter((e,t)=>e===_[t]).length,f=p/e+t;p>1&&f>h&&(h=f,u=[i,r,a,l])}let[_,p,f,g]=u,m=Math.floor((p+_)/2),k=Math.floor((g+f)/2);i.push(...s.slice(0,m)),n=(s=c.slice(k)).length,r&&(o.push(...a.slice(0,m)),a=t[l].slice(k))}return(i.push(...s),r)?(o.push(...a),[i,o]):[i,[]]}collateWordTimestamps(e,t,s){let[n,i,r]=this.combineTokensIntoWords(e,s),o=[];for(let e=0;e<n.length;++e){let s=r[e];o.push({text:n[e],timestamp:[t[s.at(0)][0],t[s.at(-1)][1]]})}return o}combineTokensIntoWords(e,t,s="\"'“\xa1\xbf([{-",n="\"'.。,，!！?？:：”)]}、"){let i,r,o;return["chinese","japanese","thai","lao","myanmar"].includes(t=t??"english")?[i,r,o]=this.splitTokensOnUnicode(e):[i,r,o]=this.splitTokensOnSpaces(e),this.mergePunctuations(i,r,o,s,n)}decode(e,t){let s;return t&&t.decode_with_timestamps?(e instanceof o.es&&(e=d(e)),s=this.decodeWithTimestamps(e,t)):s=super.decode(e,t),s}decodeWithTimestamps(e,t){let s=t?.time_precision??.02,n=Array.from(this.all_special_ids).at(-1)+1,i=[[]];for(let t of e)if(t>=n){let e=(0,r.NM)((t-n)*s,2);i.push(`<|${e}|>`),i.push([])}else i[i.length-1].push(t);return(i=i.map(e=>"string"==typeof e?e:super.decode(e,t))).join("")}splitTokensOnUnicode(e){let t=this.decode(e,{decode_with_timestamps:!0}),s=[],n=[],i=[],r=[],o=[],a=0;for(let l=0;l<e.length;++l){let c=e[l];r.push(c),o.push(l);let h=this.decode(r,{decode_with_timestamps:!0});h.includes("�")&&"�"!==t[a+h.indexOf("�")]||(s.push(h),n.push(r),i.push(o),r=[],o=[],a+=h.length)}return[s,n,i]}splitTokensOnSpaces(e){let[t,s,n]=this.splitTokensOnUnicode(e),i=[],r=[],o=[],a=RegExp(`^[${f}]$`,"gu");for(let e=0;e<t.length;++e){let l=t[e],c=s[e],h=n[e],u=c[0]>=this.model.tokens_to_ids.get("<|endoftext|>"),d=l.startsWith(" "),_=l.trim(),p=a.test(_);if(u||d||p||0===i.length)i.push(l),r.push(c),o.push(h);else{let e=i.length-1;i[e]+=l,r[e].push(...c),o[e].push(...h)}}return[i,r,o]}mergePunctuations(e,t,s,i,r){let o=structuredClone(e),a=structuredClone(t),l=structuredClone(s),c=o.length-2,h=o.length-1;for(;c>=0;)o[c].startsWith(" ")&&i.includes(o[c].trim())?(o[h]=o[c]+o[h],a[h]=(0,n.eG)(a[c],a[h]),l[h]=(0,n.eG)(l[c],l[h]),o[c]="",a[c]=[],l[c]=[]):h=c,--c;for(c=0,h=1;h<o.length;)!o[c].endsWith(" ")&&r.includes(o[h])?(o[c]+=o[h],a[c]=(0,n.eG)(a[c],a[h]),l[c]=(0,n.eG)(l[c],l[h]),o[h]="",a[h]=[],l[h]=[]):c=h,++h;return[o.filter(e=>e),a.filter(e=>e.length>0),l.filter(e=>e.length>0)]}get_decoder_prompt_ids({language:e=null,task:t=null,no_timestamps:s=!0}={}){let n=[];if(e){e=e.toLowerCase();let t=eZ.get(e);if(void 0===t){if(eK.has(e))t=e;else{let t=2===e.length?eK.keys():eK.values();throw Error(`Language "${e}" is not supported. Must be one of: ${JSON.stringify(t)}`)}}let s=this.model.tokens_to_ids.get(`<|${t}|>`);if(void 0===s)throw Error(`Unable to find language "${t}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);n.push(s)}else n.push(null);if(t){if("transcribe"!==(t=t.toLowerCase())&&"translate"!==t)throw Error(`Task "${t}" is not supported. Must be one of: ["transcribe", "translate"]`);let e=this.model.tokens_to_ids.get(`<|${t}|>`);if(void 0===e)throw Error(`Unable to find task "${t}" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.`);n.push(e)}else n.push(null);if(s){let e=this.model.tokens_to_ids.get("<|notimestamps|>");if(void 0===e)throw Error('Unable to find "<|notimestamps|>" in model vocabulary. Please report this issue at https://github.com/xenova/transformers.js/issues/new/choose.');n.push(e)}return n.map((e,t)=>[t+1,e]).filter(e=>null!==e[1])}}class eH extends ed{}class eJ extends ed{}class eQ extends ed{}class eX extends ed{constructor(e,t){super(e,t),this.languageRegex=/^(>>\w+<<)\s*/g,this.supported_language_codes=this.model.vocab.filter(e=>this.languageRegex.test(e)),console.warn('WARNING: `MarianTokenizer` is not yet supported by Hugging Face\'s "fast" tokenizers library. Therefore, you may experience slightly inaccurate results.')}_encode_text(e){if(null===e)return null;let[t,...s]=e.trim().split(this.languageRegex);if(0===s.length)return super._encode_text(t);if(2===s.length){let[e,t]=s;return this.supported_language_codes.includes(e)||console.warn(`Unsupported language code "${e}" detected, which may lead to unexpected behavior. Should be one of: ${JSON.stringify(this.supported_language_codes)}`),(0,n.eG)([e],super._encode_text(t))}}}class e0 extends ed{}class e1 extends ed{_default_chat_template="{% for message in messages %}{% if message['role'] == 'user' %}{{ ' ' }}{% endif %}{{ message['content'] }}{% if not loop.last %}{{ ' ' }}{% endif %}{% endfor %}{{ eos_token }}"}class e2 extends e1{}class e3 extends ed{}class e8 extends ed{}class e6 extends ed{constructor(e,t){super(e,t),this.decoder=new en({})}}class e7 extends ed{}class e9{static TOKENIZER_CLASS_MAPPING={T5Tokenizer:eS,DistilBertTokenizer:eb,CamembertTokenizer:ev,DebertaTokenizer:em,DebertaV2Tokenizer:ek,BertTokenizer:e_,HerbertTokenizer:ex,ConvBertTokenizer:ew,RoFormerTokenizer:ey,XLMTokenizer:ez,ElectraTokenizer:eA,MobileBertTokenizer:ef,SqueezeBertTokenizer:eg,AlbertTokenizer:ep,GPT2Tokenizer:eE,BartTokenizer:eT,MBartTokenizer:eC,MBart50Tokenizer:ej,RobertaTokenizer:eM,WhisperTokenizer:eV,CodeGenTokenizer:eH,CLIPTokenizer:eJ,SiglipTokenizer:eQ,MarianTokenizer:eX,BloomTokenizer:eP,NllbTokenizer:eD,M2M100Tokenizer:eq,LlamaTokenizer:e$,CodeLlamaTokenizer:eR,XLMRobertaTokenizer:eN,MPNetTokenizer:eF,FalconTokenizer:eL,GPTNeoXTokenizer:eO,EsmTokenizer:eU,Wav2Vec2CTCTokenizer:e0,BlenderbotTokenizer:e1,BlenderbotSmallTokenizer:e2,SpeechT5Tokenizer:e3,NougatTokenizer:e8,VitsTokenizer:e6,Qwen2Tokenizer:eW,GemmaTokenizer:eG,Grok1Tokenizer:eI,CohereTokenizer:e7,PreTrainedTokenizer:ed};static async from_pretrained(e,{quantized:t=!0,progress_callback:s=null,config:n=null,cache_dir:i=null,local_files_only:r=!1,revision:o="main",legacy:a=null}={}){let[l,h]=await c(e,{quantized:t,progress_callback:s,config:n,cache_dir:i,local_files_only:r,revision:o,legacy:a}),u=h.tokenizer_class?.replace(/Fast$/,"")??"PreTrainedTokenizer",d=this.TOKENIZER_CLASS_MAPPING[u];return d||(console.warn(`Unknown tokenizer class "${u}", attempting to construct from base class.`),d=ed),new d(l,h)}}}}]);
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l={input:t,model_input_ids:t,attention_mask:s,prev_model_outputs:null,output_token_ids:r,num_output_tokens:n,done:!1,score:0,id:o++};i.push(l)}return i}async function A(e,s){let t=new BigInt64Array(s.output_token_ids.length).fill(1n),n={input_ids:s.model_input_ids,attention_mask:new r.es("int64",t,[1,t.length]),past_key_values:s.prev_model_outputs?.past_key_values},a=await e.forward(n);return s.prev_model_outputs=a,a}function P(e,s){e.output_token_ids=[...e.output_token_ids,s],e.model_input_ids=new r.es("int64",[BigInt(s)],[1,1])}class E extends a.Ag{main_input_name="input_ids";constructor(e,s){super(),this.config=e,this.session=s;let t=f.get(this.constructor),n=m.get(t);this.can_generate=!1,this._runBeam=null,this._getStartBeams=null,this._updateBeam=null,this._forward=null,n===h.DecoderOnly?(this.can_generate=!0,this._runBeam=A,this._getStartBeams=L,this._updateBeam=P,this._forward=F):n===h.Seq2Seq||n===h.Vision2Seq?(this.can_generate=!0,this._runBeam=v,this._getStartBeams=b,this._updateBeam=S,this._forward=k):(h.EncoderDecoder,this._forward=C)}async dispose(){let e=[];for(let s of Object.keys(this)){let t=this[s];t instanceof d&&e.push(t.handler.dispose())}return await Promise.all(e)}static async from_pretrained(e,{quantized:s=!0,progress_callback:t=null,config:a=null,cache_dir:o=null,local_files_only:r=!1,revision:l="main",model_file_name:c=null}={}){let d,_={quantized:s,progress_callback:t,config:a,cache_dir:o,local_files_only:r,revision:l,model_file_name:c},u=f.get(this),p=m.get(u);return p===h.DecoderOnly?d=await Promise.all([n.z.from_pretrained(e,_),g(e,_.model_file_name??"decoder_model_merged",_),(0,i.yM)(e,"generation_config.json",!1,_)]):p===h.Seq2Seq||p===h.Vision2Seq?d=await Promise.all([n.z.from_pretrained(e,_),g(e,"encoder_model",_),g(e,"decoder_model_merged",_),(0,i.yM)(e,"generation_config.json",!1,_)]):p===h.MaskGeneration?d=await Promise.all([n.z.from_pretrained(e,_),g(e,"vision_encoder",_),g(e,"prompt_encoder_mask_decoder",_)]):p===h.EncoderDecoder?d=await Promise.all([n.z.from_pretrained(e,_),g(e,"encoder_model",_),g(e,"decoder_model_merged",_)]):(p!==h.EncoderOnly&&console.warn(`Model type for '${u??a?.model_type}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`),d=await Promise.all([n.z.from_pretrained(e,_),g(e,_.model_file_name??"model",_)])),new this(...d)}async _call(e){return await this.forward(e)}async forward(e){return await this._forward(this,e)}_get_logits_processor(e,s,t=null){let n=new o.Jm;if(null!==e.repetition_penalty&&1!==e.repetition_penalty&&n.push(new o.Jj(e.repetition_penalty)),null!==e.no_repeat_ngram_size&&e.no_repeat_ngram_size>0&&n.push(new o.jF(e.no_repeat_ngram_size)),null!==e.bad_words_ids&&n.push(new o.AE(e.bad_words_ids,e.eos_token_id)),null!==e.min_length&&null!==e.eos_token_id&&e.min_length>0&&n.push(new o.ez(e.min_length,e.eos_token_id)),null!==e.min_new_tokens&&null!==e.eos_token_id&&e.min_new_tokens>0&&n.push(new o.CJ(s,e.min_new_tokens,e.eos_token_id)),null!==e.forced_bos_token_id&&n.push(new o.C9(e.forced_bos_token_id)),null!==e.forced_eos_token_id&&n.push(new o.dZ(e.max_length,e.forced_eos_token_id)),null!==e.begin_suppress_tokens){let t=s>1||null===e.forced_bos_token_id?s:s+1;null!==e.forced_decoder_ids&&(t+=e.forced_decoder_ids[e.forced_decoder_ids.length-1][0]),n.push(new o.GU(e.begin_suppress_tokens,t))}return null!==e.forced_decoder_ids&&n.push(new o.E(e.forced_decoder_ids)),null!==t&&n.extend(t),n}_get_generation_config(e){let s=new o.aP(this.config);return"generation_config"in this&&Object.assign(s,this.generation_config),null!==e&&Object.assign(s,e),s}async generate(e,s=null,t=null,{inputs_attention_mask:n=null}={}){let i;if(!this.can_generate){let e=f.get(this.constructor),s=`The current model class (${e}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`,t=this.config.model_type,n=aT.get(t)??aB.get(t)??aL.get(t)??aq.get(t);throw n&&(s+=` Please use the following class instead: '${n[0]}'`),Error(s)}if(!(e instanceof r.es)&&!(0,a.fU)(e)&&!Array.isArray(e))throw Error(`\`inputs\` must be a Tensor, TypedArray, or Array, but is "${e.constructor.name}".`);if(this.config.is_encoder_decoder)i=0;else if(0===(i=e instanceof r.es?e.dims.at(-1):e.length))throw Error("Must supply a non-empty array of input token ids.");s=this._get_generation_config(s),t=t??new o.Jm,t=this._get_logits_processor(s,i,t);let l=s.eos_token_id;null===l||Array.isArray(l)||(l=[l]);let c=1,d=1+(s.max_new_tokens??1/0),_=Number.isInteger(s.max_length)&&(s.max_new_tokens??null)===null,u=o.Z4.getSampler(s),h=this.getStartBeams(e,s,c,n);for(;h.some(e=>!e.done)&&c<d;){let e=[];for(let n of h){if(n.done){e.push(n);continue}if(_&&n.output_token_ids.length>=s.max_length){n.done=!0,e.push(n);continue}let a=await this.runBeam(n);s.output_attentions&&this.addAttentionsToBeam(n,a),s.output_scores;let i=a.logits.slice(null,-1,null);for(let[s,a]of(t(n.output_token_ids,i),u(i))){let t={...n};this.updateBeam(t,s),t.score+=a,l&&l.includes(s)&&(t.done=!0),e.push(t)}}++c,h=(e=this.groupBeams(e).map(e=>e.sort((e,s)=>s.score-e.score).slice(0,s.num_beams))).flat(),s.callback_function&&s.callback_function(h)}let m=this.groupBeams(h),p=e=>m.map(t=>s.num_return_sequences>1?t.slice(0,s.num_return_sequences).map(s=>s[e]):[t[0][e]]).flat(),g=p("output_token_ids");return s.return_dict_in_generate?{sequences:g,decoder_attentions:p("decoder_attentions"),cross_attentions:p("cross_attentions")}:g}addAttentionsToBeam(e,s){if(this.config.is_encoder_decoder){if(!s.cross_attentions||0===s.cross_attentions.length)throw Error("`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.");e.cross_attentions||(e.cross_attentions=[]),e.cross_attentions.push(s.cross_attentions)}if(!s.decoder_attentions||0===s.decoder_attentions.length)throw Error("`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.");e.decoder_attentions||(e.decoder_attentions=[]),e.decoder_attentions.push(s.decoder_attentions)}groupBeams(e){let s=Object.create(null);for(let t of e)void 0===s[t.id]?s[t.id]=[t]:s[t.id].push(t);return Object.values(s)}getPastKeyValues(e,s){let t=Object.create(null);for(let n in e)if(n.startsWith("present")){let a=n.replace("present","past_key_values");s&&n.includes("encoder")?t[a]=s[a]:t[a]=e[n]}return t}getAttentions(e){let s=Object.create(null);for(let t of["cross_attentions","decoder_attentions"]){let n=[];for(let s in e)s.startsWith(t)&&(n[s.split(".").pop()]=e[s]);s[t]=n}return s}addPastKeyValues(e,s){if(s)Object.assign(e,s);else if(this.config.is_encoder_decoder&&(this.add_encoder_pkv??!0)){let s=[1,this.num_encoder_heads,0,this.encoder_dim_kv],t=[1,this.num_decoder_heads,0,this.decoder_dim_kv];for(let n=0;n<this.num_decoder_layers;++n)e[`past_key_values.${n}.encoder.key`]=new r.es("float32",[],s),e[`past_key_values.${n}.encoder.value`]=new r.es("float32",[],s),e[`past_key_values.${n}.decoder.key`]=new r.es("float32",[],t),e[`past_key_values.${n}.decoder.value`]=new r.es("float32",[],t)}else if("falcon"===this.config.model_type){let s=[1*this.num_heads,0,this.dim_kv];for(let t=0;t<this.num_layers;++t)e[`past_key_values.${t}.key`]=new r.es("float32",[],s),e[`past_key_values.${t}.value`]=new r.es("float32",[],s)}else if(this.config.multi_query){let s=[1*this.num_heads,0,2*this.dim_kv];for(let t=0;t<this.num_layers;++t)e[`past_key_values.${t}.key_value`]=new r.es("float32",[],s)}else if("bloom"===this.config.model_type){let s=[1*this.num_heads,this.dim_kv,0],t=[1*this.num_heads,0,this.dim_kv];for(let n=0;n<this.num_layers;++n)e[`past_key_values.${n}.key`]=new r.es("float32",[],s),e[`past_key_values.${n}.value`]=new r.es("float32",[],t)}else{let s=[1,this.num_heads,0,this.dim_kv];for(let t=0;t<this.num_layers;++t)e[`past_key_values.${t}.key`]=new r.es("float32",[],s),e[`past_key_values.${t}.value`]=new r.es("float32",[],s)}}getStartBeams(e,s,t,n){return this._getStartBeams(this,e,s,t,n)}async runBeam(e){return await this._runBeam(this,e)}updateBeam(e,s){return this._updateBeam(e,s)}}class O{}class B extends E{}class T extends B{}class D extends B{async _call(e){return new iw(await super._call(e))}}class I extends B{async _call(e){return new im(await super._call(e))}}class q extends B{async _call(e){return new ig(await super._call(e))}}class N extends B{async _call(e){return new ix(await super._call(e))}}class G extends E{}class V extends G{}class z extends E{}class j extends z{}class $ extends z{async _call(e){return new iw(await super._call(e))}}class W extends z{async _call(e){return new im(await super._call(e))}}class R extends z{async _call(e){return new ig(await super._call(e))}}class Q extends z{async _call(e){return new ix(await super._call(e))}}class U extends E{}class X extends U{}class K extends U{async _call(e){return new iw(await super._call(e))}}class H extends U{async _call(e){return new im(await super._call(e))}}class J extends U{async _call(e){return new ig(await super._call(e))}}class Z extends U{async _call(e){return new ix(await super._call(e))}}class Y extends E{}class ee extends Y{}class es extends Y{async _call(e){return new iw(await super._call(e))}}class et extends Y{async _call(e){return new im(await super._call(e))}}class en extends Y{async _call(e){return new ig(await super._call(e))}}class ea extends Y{async _call(e){return new ix(await super._call(e))}}class ei extends E{}class eo extends ei{}class er extends ei{async _call(e){return new iw(await super._call(e))}}class el extends ei{async _call(e){return new im(await super._call(e))}}class ec extends ei{async _call(e){return new ig(await super._call(e))}}class ed extends ei{async _call(e){return new ix(await super._call(e))}}class e_ extends E{}class eu extends e_{}class eh extends e_{async _call(e){return new iw(await super._call(e))}}class em extends e_{async _call(e){return new im(await super._call(e))}}class ep extends e_{async _call(e){return new ig(await super._call(e))}}class ef extends e_{async _call(e){return new ix(await super._call(e))}}class eg extends E{}class ew extends eg{}class ex extends eg{async _call(e){return new iw(await super._call(e))}}class ey extends eg{async _call(e){return new im(await super._call(e))}}class eM extends eg{async _call(e){return new ig(await super._call(e))}}class ek extends eg{async _call(e){return new ix(await super._call(e))}}class eb extends E{}class ev extends eb{}class eS extends eb{async _call(e){return new im(await super._call(e))}}class eC extends eb{async _call(e){return new ig(await super._call(e))}}class eF extends eb{async _call(e){return new ix(await super._call(e))}}class eL extends eb{async _call(e){return new iw(await super._call(e))}}class eA extends E{}class eP extends eA{}class eE extends eA{async _call(e){return new iw(await super._call(e))}}class eO extends eA{async _call(e){return new im(await super._call(e))}}class eB extends eA{async _call(e){return new ig(await super._call(e))}}class eT extends E{}class eD extends eT{}class eI extends eT{async _call(e){return new iw(await super._call(e))}}class eq extends eT{async _call(e){return new im(await super._call(e))}}class eN extends eT{async _call(e){return new ix(await super._call(e))}}class eG extends E{}class eV extends eG{}class ez extends eG{async _call(e){return new iw(await super._call(e))}}class ej extends eG{async _call(e){return new im(await super._call(e))}}class e$ extends eG{async _call(e){return new ig(await super._call(e))}}class eW extends eG{async _call(e){return new ix(await super._call(e))}}class eR extends E{}class eQ extends eR{}class eU extends eR{async _call(e){return new iw(await super._call(e))}}class eX extends eR{async _call(e){return new im(await super._call(e))}}class eK extends eR{async _call(e){return new ix(await super._call(e))}}class eH extends E{}class eJ extends eH{}class eZ extends eH{async _call(e){return new im(await super._call(e))}}class eY extends eH{async _call(e){return new ix(await super._call(e))}}class e2 extends eH{async _call(e){return new iw(await super._call(e))}}class e0 extends E{}class e1 extends e0{}class e4 extends e0{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}}class e3 extends E{}class e5 extends e3{}class e6 extends e3{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}}class e7 extends E{}class e9 extends e7{}class e8 extends e7{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.num_decoder_layers,this.num_decoder_heads=this.config.num_heads,this.decoder_dim_kv=this.config.d_kv,this.num_encoder_layers=this.config.num_layers,this.num_encoder_heads=this.config.num_heads,this.encoder_dim_kv=this.config.d_kv}}class se extends E{}class ss extends se{}class st extends se{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class sn extends se{async _call(e){return new im(await super._call(e))}}class sa extends E{}class si extends sa{}class so extends sa{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class sr extends sa{async _call(e){return new im(await super._call(e))}}class sl extends sa{constructor(e,s,t){super(e,s),this.generation_config=t,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class sc extends E{}class sd extends sc{}class s_ extends sc{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class su extends E{}class sh extends su{}class sm extends su{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class sp extends E{}class sf extends sp{}class sg extends sp{async _call(e){return new iw(await super._call(e))}}class sw extends sp{async _call(e){return new im(await super._call(e))}}class sx extends sp{async _call(e){return new ig(await super._call(e))}}class sy extends sp{async _call(e){return new ix(await super._call(e))}}class sM extends E{}class sk extends sM{}class sb extends sM{async _call(e){return new iw(await super._call(e))}}class sv extends sM{async _call(e){return new im(await super._call(e))}}class sS extends sM{async _call(e){return new ig(await super._call(e))}}class sC extends sM{async _call(e){return new ix(await super._call(e))}}class sF extends E{}class sL extends sF{}class sA extends sF{async _call(e){return new iw(await super._call(e))}}class sP extends sF{async _call(e){return new im(await super._call(e))}}class sE extends sF{async _call(e){return new ig(await super._call(e))}}class sO extends sF{async _call(e){return new ix(await super._call(e))}}class sB extends E{}class sT extends sB{}class sD extends sB{}class sI extends E{}class sq extends sI{}class sN extends sI{requires_attention_mask=!1;main_input_name="input_features";constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}async generate(e,s=null,t=null){if(s=this._get_generation_config(s),s.return_timestamps??=!1,s.return_timestamps&&(t=[new o.Pg(s)]),s.return_token_timestamps&&(s.output_attentions=!0,s.return_dict_in_generate=!0,"translate"===s.task&&console.warn("Token-level timestamps may not be reliable for task 'translate'."),!s.alignment_heads))throw Error("Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.");let n=await super.generate(e,s,t);return s.return_token_timestamps&&s.alignment_heads&&(n.token_timestamps=this._extract_token_timestamps(n,s.alignment_heads,s.num_frames)),n}_extract_token_timestamps(e,s,t=null,n=.02){if(!e.cross_attentions)throw Error("Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.");let i=this.config.median_filter_width;void 0===i&&(console.warn("Model config has no `median_filter_width`, using default value of 7."),i=7);let o=e.cross_attentions.map(e=>{let n=Array.from({length:this.config.decoder_layers},(s,t)=>(0,r.d3)(e.map(e=>e[t]),2)),a=(0,r.kn)(s.map(([e,s])=>t?n[e].slice(null,s,null,[0,t]):n[e].slice(null,s)));a=a.transpose(1,0,2,3);let[o,l]=(0,r.f3)(a,-2,0,!0),d=a.clone();for(let e=0;e<d.dims[0];++e){let s=d[e];for(let t=0;t<s.dims[0];++t){let n=s[t],a=o[e][t][0],r=l[e][t][0];for(let e=0;e<n.dims[0];++e){let s=n[e];for(let e=0;e<s.data.length;++e)s.data[e]=(s.data[e]-r.data[e])/a.data[e];s.data.set((0,c.qCb)(s.data,i))}}}return(0,r.J6)(d,1)}),l=[e.sequences.length,e.sequences[0].length],d=new r.es("float32",new Float32Array(l[0]*l[1]),l);for(let e=0;e<l[0];++e){let s=o[e].neg().squeeze_(0),[t,i]=(0,r.Ks)(s),l=Array.from({length:t.length-1},(e,s)=>t[s+1]-t[s]),c=(0,a.eG)([1],l).map(e=>!!e),_=[];for(let e=0;e<c.length;++e)c[e]&&_.push(i[e]*n);d[e].data.set(_,1)}return d}}class sG extends E{main_input_name="pixel_values";constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n;let a=this.config.encoder,i=this.config.decoder,o=a.model_type;(aS.get(o)??aC.get(o))||console.warn(`Model type for encoder '${o}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`);let r=aT.get(i.model_type);if(!r)throw Error(`Unable to construct \`VisionEncoderDecoder\` due to unsupported decoder: "${this.config.decoder.model_type}"`);let l=new r[1](i,t,n);this.add_encoder_pkv="num_decoder_layers"in l,this.add_encoder_pkv?(this.num_decoder_layers=l.num_decoder_layers,this.num_decoder_heads=l.num_decoder_heads,this.decoder_dim_kv=l.decoder_dim_kv,this.num_encoder_layers=l.num_encoder_layers,this.num_encoder_heads=l.num_encoder_heads,this.encoder_dim_kv=l.encoder_dim_kv):(this.num_layers=l.num_layers,this.num_heads=l.num_heads,this.dim_kv=l.dim_kv)}}class sV extends E{}class sz extends sV{}class sj extends sV{static async from_pretrained(e,s={}){return s.model_file_name??="text_model",super.from_pretrained(e,s)}}class s$ extends sV{static async from_pretrained(e,s={}){return s.model_file_name??="vision_model",super.from_pretrained(e,s)}}class sW extends E{}class sR extends sW{}class sQ extends sW{static async from_pretrained(e,s={}){return s.model_file_name??="text_model",super.from_pretrained(e,s)}}class sU extends sV{static async from_pretrained(e,s={}){return s.model_file_name??="vision_model",super.from_pretrained(e,s)}}class sX extends E{}class sK extends sX{}class sH extends E{}class sJ extends sH{}class sZ extends sH{}class sY extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class s2 extends sY{}class s0 extends sY{}class s1 extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_heads,this.num_layers=this.config.num_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class s4 extends s1{}class s3 extends s1{}class s5 extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class s6 extends s5{}class s7 extends s5{}class s9 extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class s8 extends s9{}class te extends s9{}class ts extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class tt extends ts{}class tn extends ts{}class ta extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.n_embd/this.num_heads}}class ti extends ta{}class to extends ta{}class tr extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads??this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class tl extends tr{}class tc extends tr{}class td extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads??this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class t_ extends td{}class tu extends td{}class th extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class tm extends th{}class tp extends th{}class tf extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_head,this.num_layers=this.config.n_layer,this.dim_kv=this.config.hidden_size/this.num_heads}}class tg extends tf{}class tw extends tf{}class tx extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.n_heads,this.num_layers=this.config.n_layers,this.dim_kv=this.config.d_model/this.num_heads}}class ty extends tx{}class tM extends tx{}class tk extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class tb extends tk{}class tv extends tk{}class tS extends E{}class tC extends tS{}class tF extends tS{async _call(e){return new im(await super._call(e))}}class tL extends E{}class tA extends tL{async _call(e){return new iM(await super._call(e))}}class tP extends E{}class tE extends tP{}class tO extends tP{async _call(e){return new im(await super._call(e))}}class tB extends E{}class tT extends tB{}class tD extends tB{}class tI extends E{}class tq extends tI{}class tN extends tI{}class tG extends E{}class tV extends tG{}class tz extends tG{async _call(e){return new im(await super._call(e))}}class tj extends E{}class t$ extends tj{}class tW extends tj{async _call(e){return new tQ(await super._call(e))}}class tR extends tj{async _call(e){return new tU(await super._call(e))}}class tQ extends O{constructor({logits:e,pred_boxes:s}){super(),this.logits=e,this.pred_boxes=s}}class tU extends O{constructor({logits:e,pred_boxes:s,pred_masks:t}){super(),this.logits=e,this.pred_boxes=s,this.pred_masks=t}}class tX extends E{}class tK extends tX{}class tH extends tX{async _call(e){return new tJ(await super._call(e))}}class tJ extends tQ{}class tZ extends E{}class tY extends tZ{}class t2 extends tZ{async _call(e){return new im(await super._call(e))}}class t0 extends E{}class t1 extends t0{}class t4 extends t0{async _call(e){return new im(await super._call(e))}}class t3 extends E{}class t5 extends t3{}class t6 extends t3{async _call(e){return new im(await super._call(e))}}class t7 extends E{}class t9 extends t7{}class t8 extends t7{}class ne extends E{}class ns extends ne{}class nt extends ne{}class nn extends E{}class na extends nn{}class ni extends E{}class no extends ni{}class nr extends ni{}class nl extends E{}class nc extends nl{}class nd extends E{}class n_ extends nd{}class nu extends nd{async _call(e){return new im(await super._call(e))}}class nh extends E{}class nm extends nh{}class np extends nh{async _call(e){return new im(await super._call(e))}}class nf extends E{}class ng extends nf{}class nw extends nf{async _call(e){return new im(await super._call(e))}}class nx extends E{}class ny extends nx{}class nM extends nx{async _call(e){return new nk(await super._call(e))}}class nk extends O{constructor({logits:e,pred_boxes:s}){super(),this.logits=e,this.pred_boxes=s}}class nb extends E{}class nv extends nb{constructor(e,s,t){super(e,s),this.prompt_encoder_mask_decoder=t}async get_image_embeddings({pixel_values:e}){return await C(this,{pixel_values:e})}async forward(e){if(e.image_embeddings&&e.image_positional_embeddings||(e={...e,...await this.get_image_embeddings(e)}),!e.input_labels){let s=e.input_points.dims.slice(0,-1),t=s.reduce((e,s)=>e*s,1);e.input_labels=new r.es("int64",new BigInt64Array(t).fill(1n),s)}return await w(this.prompt_encoder_mask_decoder,{input_points:e.input_points,input_labels:e.input_labels,image_embeddings:e.image_embeddings,image_positional_embeddings:e.image_positional_embeddings})}async _call(e){return new nS(await super._call(e))}}class nS extends O{constructor({iou_scores:e,pred_masks:s}){super(),this.iou_scores=e,this.pred_masks=s}}class nC extends E{}class nF extends nC{}class nL extends nC{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class nA extends E{}class nP extends nA{}class nE extends nA{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.d_model/this.num_encoder_heads}}class nO extends E{}class nB extends nO{}class nT extends nO{async _call(e){return new iy(await super._call(e))}}class nD extends nO{async _call(e){return new im(await super._call(e))}}class nI extends nO{async _call(e){return new ig(await super._call(e))}}class nq extends E{}class nN extends nq{}class nG extends nq{async _call(e){return new iy(await super._call(e))}}class nV extends nq{async _call(e){return new im(await super._call(e))}}class nz extends E{}class nj extends nz{}class n$ extends nz{async _call(e){return new iy(await super._call(e))}}class nW extends nz{async _call(e){return new im(await super._call(e))}}class nR extends nz{async _call(e){return new ig(await super._call(e))}}class nQ extends E{}class nU extends nQ{}class nX extends nQ{async _call(e){return new iy(await super._call(e))}}class nK extends nQ{async _call(e){return new im(await super._call(e))}}class nH extends nO{}class nJ extends nO{async _call(e){return new iy(await super._call(e))}}class nZ extends nO{async _call(e){return new im(await super._call(e))}}class nY extends E{}class n2 extends nY{}class n0 extends nY{async _call(e){return new iy(await super._call(e))}}class n1 extends nY{async _call(e){return new im(await super._call(e))}}class n4 extends nY{async _call(e){return new ip(await super._call(e))}}class n3 extends nY{async _call(e){return new ig(await super._call(e))}}class n5 extends E{}class n6 extends n5{}class n7 extends n5{constructor(e,s,t,n){super(e,s),this.decoder_merged_session=t,this.generation_config=n,this.num_decoder_layers=this.config.decoder_layers,this.num_decoder_heads=this.config.decoder_attention_heads,this.decoder_dim_kv=this.config.hidden_size/this.num_decoder_heads,this.num_encoder_layers=this.config.encoder_layers,this.num_encoder_heads=this.config.encoder_attention_heads,this.encoder_dim_kv=this.config.hidden_size/this.num_encoder_heads}async generate_speech(e,s,{threshold:t=.5,minlenratio:n=0,maxlenratio:a=20,vocoder:i=null}={}){let{encoder_outputs:o,encoder_attention_mask:l}=await C(this,{input_ids:e}),c=o.dims[1]/this.config.reduction_factor,d=Math.floor(c*a),_=Math.floor(c*n),u=this.config.num_mel_bins,h=[],m=null,p=null,f=0;for(;;){++f;let e={use_cache_branch:M(!!p),output_sequence:p?p.output_sequence_out:new r.es("float32",new Float32Array(u),[1,1,u]),encoder_attention_mask:l,speaker_embeddings:s,encoder_hidden_states:o};this.addPastKeyValues(e,m),p=await w(this.decoder_merged_session,e),m=this.getPastKeyValues(p,m);let{prob:n,spectrum:a}=p;if(h.push(a),f>=_&&(Array.from(n.data).filter(e=>e>=t).length>0||f>=d))break}let g=(0,r.d3)(h),{waveform:x}=await w(i.session,{spectrogram:g});return{spectrogram:g,waveform:x}}}class n9 extends E{main_input_name="spectrogram"}class n8 extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_encoder_layers=this.num_decoder_layers=this.config.decoder_layers,this.num_encoder_heads=this.num_decoder_heads=this.config.decoder_attention_heads,this.encoder_dim_kv=this.decoder_dim_kv=this.config.d_model/this.num_decoder_heads}}class ae extends n8{}class as extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class at extends as{}class an extends as{}class aa extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_key_value_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class ai extends aa{}class ao extends aa{}class ar extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.config.num_attention_heads}}class al extends ar{}class ac extends ar{}class ad extends E{}class a_ extends ad{}class au extends ad{static async from_pretrained(e,s={}){return s.model_file_name??="text_model",super.from_pretrained(e,s)}}class ah extends ad{static async from_pretrained(e,s={}){return s.model_file_name??="audio_model",super.from_pretrained(e,s)}}class am extends E{}class ap extends am{async _call(e){return new ik(await super._call(e))}}class af extends E{}class ag extends af{}class aw extends af{}class ax extends E{constructor(e,s,t){super(e,s),this.generation_config=t,this.config.pad_token_id=this.config.eos_token_id,this.num_heads=this.config.num_attention_heads,this.num_layers=this.config.num_hidden_layers,this.dim_kv=this.config.hidden_size/this.num_heads}}class ay extends ax{}class aM extends E{}class ak extends aM{}class ab extends aM{async _call(e){return new im(await super._call(e))}}class av{static MODEL_CLASS_MAPPINGS=null;static BASE_IF_FAIL=!1;static async from_pretrained(e,{quantized:s=!0,progress_callback:t=null,config:a=null,cache_dir:i=null,local_files_only:o=!1,revision:r="main",model_file_name:l=null}={}){let c={quantized:s,progress_callback:t,config:a,cache_dir:i,local_files_only:o,revision:r,model_file_name:l};if(a=await n.z.from_pretrained(e,c),c.config||(c.config=a),!this.MODEL_CLASS_MAPPINGS)throw Error("`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: "+this.name);for(let s of this.MODEL_CLASS_MAPPINGS){let t=s.get(a.model_type);if(t)return await t[1].from_pretrained(e,c)}if(this.BASE_IF_FAIL)return console.warn(`Unknown model class "${a.model_type}", attempting to construct from base class.`),await E.from_pretrained(e,c);throw Error(`Unsupported model type: ${a.model_type}`)}}let aS=new Map([["bert",["BertModel",T]],["nomic_bert",["NomicBertModel",V]],["roformer",["RoFormerModel",j]],["electra",["ElectraModel",ee]],["esm",["EsmModel",eP]],["convbert",["ConvBertModel",X]],["camembert",["CamembertModel",eo]],["deberta",["DebertaModel",eu]],["deberta-v2",["DebertaV2Model",ew]],["mpnet",["MPNetModel",eV]],["albert",["AlbertModel",eJ]],["distilbert",["DistilBertModel",ev]],["roberta",["RobertaModel",sf]],["xlm",["XLMModel",sk]],["xlm-roberta",["XLMRobertaModel",sL]],["clap",["ClapModel",a_]],["clip",["CLIPModel",sz]],["clipseg",["CLIPSegModel",sJ]],["chinese_clip",["ChineseCLIPModel",sK]],["siglip",["SiglipModel",sR]],["mobilebert",["MobileBertModel",eD]],["squeezebert",["SqueezeBertModel",eQ]],["wav2vec2",["Wav2Vec2Model",nB]],["wav2vec2-bert",["Wav2Vec2BertModel",nU]],["unispeech",["UniSpeechModel",nN]],["unispeech-sat",["UniSpeechSatModel",nj]],["hubert",["HubertModel",nH]],["wavlm",["WavLMModel",n2]],["audio-spectrogram-transformer",["ASTModel",sT]],["vits",["VitsModel",ap]],["detr",["DetrModel",t$]],["table-transformer",["TableTransformerModel",tK]],["vit",["ViTModel",tC]],["mobilevit",["MobileViTModel",tE]],["owlvit",["OwlViTModel",tT]],["owlv2",["Owlv2Model",tq]],["beit",["BeitModel",tV]],["deit",["DeiTModel",tY]],["convnext",["ConvNextModel",n_]],["convnextv2",["ConvNextV2Model",nm]],["dinov2",["Dinov2Model",ng]],["resnet",["ResNetModel",t1]],["swin",["SwinModel",t5]],["swin2sr",["Swin2SRModel",t9]],["donut-swin",["DonutSwinModel",nc]],["yolos",["YolosModel",ny]],["dpt",["DPTModel",ns]],["glpn",["GLPNModel",no]],["hifigan",["SpeechT5HifiGan",n9]],["efficientnet",["EfficientNetModel",ak]]]),aC=new Map([["t5",["T5Model",e1]],["longt5",["LongT5Model",e5]],["mt5",["MT5Model",e9]],["bart",["BartModel",ss]],["mbart",["MBartModel",si]],["marian",["MarianModel",nF]],["whisper",["WhisperModel",sq]],["m2m_100",["M2M100Model",nP]],["blenderbot",["BlenderbotModel",sd]],["blenderbot-small",["BlenderbotSmallModel",sh]]]),aF=new Map([["bloom",["BloomModel",tg]],["gpt2",["GPT2Model",s2]],["gptj",["GPTJModel",s8]],["gpt_bigcode",["GPTBigCodeModel",tt]],["gpt_neo",["GPTNeoModel",s4]],["gpt_neox",["GPTNeoXModel",s6]],["codegen",["CodeGenModel",ti]],["llama",["LlamaModel",tl]],["qwen2",["Qwen2Model",t_]],["phi",["PhiModel",tm]],["mpt",["MptModel",ty]],["opt",["OPTModel",tb]],["mistral",["MistralModel",at]],["starcoder2",["Starcoder2Model",ai]],["falcon",["FalconModel",al]]]),aL=new Map([["speecht5",["SpeechT5ForSpeechToText",n6]],["whisper",["WhisperForConditionalGeneration",sN]]]),aA=new Map([["speecht5",["SpeechT5ForTextToSpeech",n7]]]),aP=new Map([["vits",["VitsModel",ap]]]),aE=new Map([["bert",["BertForSequenceClassification",I]],["roformer",["RoFormerForSequenceClassification",W]],["electra",["ElectraForSequenceClassification",et]],["esm",["EsmForSequenceClassification",eO]],["convbert",["ConvBertForSequenceClassification",H]],["camembert",["CamembertForSequenceClassification",el]],["deberta",["DebertaForSequenceClassification",em]],["deberta-v2",["DebertaV2ForSequenceClassification",ey]],["mpnet",["MPNetForSequenceClassification",ej]],["albert",["AlbertForSequenceClassification",eZ]],["distilbert",["DistilBertForSequenceClassification",eS]],["roberta",["RobertaForSequenceClassification",sw]],["xlm",["XLMForSequenceClassification",sv]],["xlm-roberta",["XLMRobertaForSequenceClassification",sP]],["bart",["BartForSequenceClassification",sn]],["mbart",["MBartForSequenceClassification",sr]],["mobilebert",["MobileBertForSequenceClassification",eq]],["squeezebert",["SqueezeBertForSequenceClassification",eX]]]),aO=new Map([["bert",["BertForTokenClassification",q]],["roformer",["RoFormerForTokenClassification",R]],["electra",["ElectraForTokenClassification",en]],["esm",["EsmForTokenClassification",eB]],["convbert",["ConvBertForTokenClassification",J]],["camembert",["CamembertForTokenClassification",ec]],["deberta",["DebertaForTokenClassification",ep]],["deberta-v2",["DebertaV2ForTokenClassification",eM]],["mpnet",["MPNetForTokenClassification",e$]],["distilbert",["DistilBertForTokenClassification",eC]],["roberta",["RobertaForTokenClassification",sx]],["xlm",["XLMForTokenClassification",sS]],["xlm-roberta",["XLMRobertaForTokenClassification",sE]]]),aB=new 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