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"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[165],{2018:function(e,t,s){s.d(t,{t2:function(){return e9}});var n=s(761),i=s(911),r=s(8709),o=s(2414),a=s(1510),l=s(4087);async function c(e,t){let s=await Promise.all([(0,i.yM)(e,"tokenizer.json",!0,t),(0,i.yM)(e,"tokenizer_config.json",!0,t)]);return null!==t.legacy&&(s[1].legacy=t.legacy),s}function h(e,t=!0){if(void 0!==e.Regex){let t=e.Regex.replace(/\\([#&~])/g,"$1");for(let[e,s]of g)t=t.replaceAll(e,s);return RegExp(t,"gu")}if(void 0===e.String)return console.warn("Unknown pattern type:",e),null;{let s=(0,n.hr)(e.String);return RegExp(t?s:`(${s})`,"gu")}}function u(e){return new Map(Object.entries(e))}function d(e){let t=e.dims;switch(t.length){case 1:return e.tolist();case 2:if(1!==t[0])throw Error("Unable to decode tensor with `batch size !== 1`. 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>>
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+
"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[165],{9046:function(e,t,s){s.d(t,{t2:function(){return e9}});var n=s(761),i=s(911),r=s(8709),o=s(2414),a=s(1510),l=s(4087);async function c(e,t){let s=await Promise.all([(0,i.yM)(e,"tokenizer.json",!0,t),(0,i.yM)(e,"tokenizer_config.json",!0,t)]);return null!==t.legacy&&(s[1].legacy=t.legacy),s}function h(e,t=!0){if(void 0!==e.Regex){let t=e.Regex.replace(/\\([#&~])/g,"$1");for(let[e,s]of g)t=t.replaceAll(e,s);return RegExp(t,"gu")}if(void 0===e.String)return console.warn("Unknown pattern type:",e),null;{let s=(0,n.hr)(e.String);return RegExp(t?s:`(${s})`,"gu")}}function u(e){return new Map(Object.entries(e))}function d(e){let t=e.dims;switch(t.length){case 1:return e.tolist();case 2:if(1!==t[0])throw Error("Unable to decode tensor with `batch size !== 1`. 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>>
|
_next/static/chunks/6139e184.386a648ad105fc36.js
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"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[132],{9454:function(e,s,t){t.d(s,{$Bv:function(){return ia},$Sz:function(){return a2},DcG:function(){return ic},ENH:function(){return ir},En$:function(){return is},Hqk:function(){return a7},IFL:function(){return iu},K2m:function(){return il},Kf0:function(){return a4},LdW:function(){return io},OjJ:function(){return a1},S2d:function(){return id},U$$:function(){return it},Zn:function(){return ii},hY6:function(){return i_},hZO:function(){return a3},lbf:function(){return a5},o$X:function(){return a0},t78:function(){return a8},tLj:function(){return ie},wiU:function(){return a9},z6E:function(){return a6}});var n=t(16),a=t(761),i=t(911),o=t(5774),r=t(2414),l=t(1542),c=t(9078);let{InferenceSession:d,Tensor:_,env:u}=l.ONNX,h={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,MaskGeneration:5},m=new Map,p=new Map,f=new Map;async function g(e,s,t){let n=`onnx/${s}${t.quantized?"_quantized":""}.onnx`,a=await (0,i.st)(e,n,!0,t);try{return await d.create(a,{executionProviders:l.p})}catch(e){if(1===l.p.length&&"wasm"===l.p[0])throw e;return console.warn(e),console.warn("Something went wrong during model construction (most likely a missing operation). 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t=f.get(this.constructor),n=m.get(t);this.can_generate=!1,this._runBeam=null,this._getStartBeams=null,this._updateBeam=null,this._forward=null,n===h.DecoderOnly?(this.can_generate=!0,this._runBeam=A,this._getStartBeams=L,this._updateBeam=P,this._forward=F):n===h.Seq2Seq||n===h.Vision2Seq?(this.can_generate=!0,this._runBeam=v,this._getStartBeams=b,this._updateBeam=S,this._forward=k):(h.EncoderDecoder,this._forward=C)}async dispose(){let e=[];for(let s of Object.keys(this)){let t=this[s];t instanceof d&&e.push(t.handler.dispose())}return await Promise.all(e)}static async from_pretrained(e,{quantized:s=!0,progress_callback:t=null,config:a=null,cache_dir:o=null,local_files_only:r=!1,revision:l="main",model_file_name:c=null}={}){let d,_={quantized:s,progress_callback:t,config:a,cache_dir:o,local_files_only:r,revision:l,model_file_name:c},u=f.get(this),p=m.get(u);return p===h.DecoderOnly?d=await Promise.all([n.z.from_pretrained(e,_),g(e,_.model_file_name??"decoder_model_merged",_),(0,i.yM)(e,"generation_config.json",!1,_)]):p===h.Seq2Seq||p===h.Vision2Seq?d=await Promise.all([n.z.from_pretrained(e,_),g(e,"encoder_model",_),g(e,"decoder_model_merged",_),(0,i.yM)(e,"generation_config.json",!1,_)]):p===h.MaskGeneration?d=await Promise.all([n.z.from_pretrained(e,_),g(e,"vision_encoder",_),g(e,"prompt_encoder_mask_decoder",_)]):p===h.EncoderDecoder?d=await Promise.all([n.z.from_pretrained(e,_),g(e,"encoder_model",_),g(e,"decoder_model_merged",_)]):(p!==h.EncoderOnly&&console.warn(`Model type for '${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 e8 extends e7{}class e9 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 s8 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 s9 extends s8{}class te extends s8{}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 t8 extends t7{}class t9 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 n8 extends E{main_input_name="spectrogram"}class n9 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 n9{}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",t8]],["donut-swin",["DonutSwinModel",nc]],["yolos",["YolosModel",ny]],["dpt",["DPTModel",ns]],["glpn",["GLPNModel",no]],["hifigan",["SpeechT5HifiGan",n8]],["efficientnet",["EfficientNetModel",ak]]]),aC=new Map([["t5",["T5Model",e1]],["longt5",["LongT5Model",e5]],["mt5",["MT5Model",e8]],["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",s9]],["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 Map([["t5",["T5ForConditionalGeneration",e4]],["longt5",["LongT5ForConditionalGeneration",e6]],["mt5",["MT5ForConditionalGeneration",e9]],["bart",["BartForConditionalGeneration",st]],["mbart",["MBartForConditionalGeneration",so]],["marian",["MarianMTModel",nL]],["m2m_100",["M2M100ForConditionalGeneration",nE]],["blenderbot",["BlenderbotForConditionalGeneration",s_]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",sm]]]),aT=new Map([["bloom",["BloomForCausalLM",tw]],["gpt2",["GPT2LMHeadModel",s0]],["gptj",["GPTJForCausalLM",te]],["gpt_bigcode",["GPTBigCodeForCausalLM",tn]],["gpt_neo",["GPTNeoForCausalLM",s3]],["gpt_neox",["GPTNeoXForCausalLM",s7]],["codegen",["CodeGenForCausalLM",to]],["llama",["LlamaForCausalLM",tc]],["qwen2",["Qwen2ForCausalLM",tu]],["phi",["PhiForCausalLM",tp]],["mpt",["MptForCausalLM",tM]],["opt",["OPTForCausalLM",tv]],["mbart",["MBartForCausalLM",sl]],["mistral",["MistralForCausalLM",an]],["starcoder2",["Starcoder2ForCausalLM",ao]],["falcon",["FalconForCausalLM",ac]],["trocr",["TrOCRForCausalLM",ae]],["stablelm",["StableLmForCausalLM",ay]]]),aD=new 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O{constructor({logits:e}){super(),this.logits=e}}class ix extends O{constructor({start_logits:e,end_logits:s}){super(),this.start_logits=e,this.end_logits=s}}class iy extends O{constructor({logits:e}){super(),this.logits=e}}class iM extends O{constructor({alphas:e}){super(),this.alphas=e}}class ik extends O{constructor({waveform:e,spectrogram:s}){super(),this.waveform=e,this.spectrogram=s}}}}]);
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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$]],["distilbert",["DistilBertForTokenClassification",eC]],["roberta",["RobertaForTokenClassification",sx]],["xlm",["XLMForTokenClassification",sS]],["xlm-roberta",["XLMRobertaForTokenClassification",sE]]]),aB=new Map([["t5",["T5ForConditionalGeneration",e4]],["longt5",["LongT5ForConditionalGeneration",e6]],["mt5",["MT5ForConditionalGeneration",e8]],["bart",["BartForConditionalGeneration",st]],["mbart",["MBartForConditionalGeneration",so]],["marian",["MarianMTModel",nL]],["m2m_100",["M2M100ForConditionalGeneration",nE]],["blenderbot",["BlenderbotForConditionalGeneration",s_]],["blenderbot-small",["BlenderbotSmallForConditionalGeneration",sm]]]),aT=new Map([["bloom",["BloomForCausalLM",tw]],["gpt2",["GPT2LMHeadModel",s0]],["gptj",["GPTJForCausalLM",te]],["gpt_bigcode",["GPTBigCodeForCausalLM",tn]],["gpt_neo",["GPTNeoForCausalLM",s3]],["gpt_neox",["GPTNeoXForCausalLM",s7]],["codegen",["CodeGenForCausalLM",to]],["llama",["LlamaForCausalLM",tc]],["qwen2",["Qwen2ForCausalLM",tu]],["phi",["PhiForCausalLM",tp]],["mpt",["MptForCausalLM",tM]],["opt",["OPTForCausalLM",tv]],["mbart",["MBartForCausalLM",sl]],["mistral",["MistralForCausalLM",an]],["starcoder2",["Starcoder2ForCausalLM",ao]],["falcon",["FalconForCausalLM",ac]],["trocr",["TrOCRForCausalLM",ae]],["stablelm",["StableLmForCausalLM",ay]]]),aD=new Map([["bert",["BertForMaskedLM",D]],["roformer",["RoFormerForMaskedLM",$]],["electra",["ElectraForMaskedLM",es]],["esm",["EsmForMaskedLM",eE]],["convbert",["ConvBertForMaskedLM",K]],["camembert",["CamembertForMaskedLM",er]],["deberta",["DebertaForMaskedLM",eh]],["deberta-v2",["DebertaV2ForMaskedLM",ex]],["mpnet",["MPNetForMaskedLM",ez]],["albert",["AlbertForMaskedLM",e2]],["distilbert",["DistilBertForMaskedLM",eL]],["roberta",["RobertaForMaskedLM",sg]],["xlm",["XLMWithLMHeadModel",sb]],["xlm-roberta",["XLMRobertaForMaskedLM",sA]],["mobilebert",["MobileBertForMaskedLM",eI]],["squeezebert",["SqueezeBertForMaskedLM",eU]]]),aI=new Map([["bert",["BertForQuestionAnswering",N]],["roformer",["RoFormerForQuestionAnswering",Q]],["electra",["ElectraForQuestionAnswering",ea]],["convbert",["ConvBertForQuestionAnswering",Z]],["camembert",["CamembertForQuestionAnswering",ed]],["deberta",["DebertaForQuestionAnswering",ef]],["deberta-v2",["DebertaV2ForQuestionAnswering",ek]],["mpnet",["MPNetForQuestionAnswering",eW]],["albert",["AlbertForQuestionAnswering",eY]],["distilbert",["DistilBertForQuestionAnswering",eF]],["roberta",["RobertaForQuestionAnswering",sy]],["xlm",["XLMForQuestionAnswering",sC]],["xlm-roberta",["XLMRobertaForQuestionAnswering",sO]],["mobilebert",["MobileBertForQuestionAnswering",eN]],["squeezebert",["SqueezeBertForQuestionAnswering",eK]]]),aq=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",sG]]]),aN=new Map([["vision-encoder-decoder",["VisionEncoderDecoderModel",sG]]]),aG=new Map([["vit",["ViTForImageClassification",tF]],["mobilevit",["MobileViTForImageClassification",tO]],["beit",["BeitForImageClassification",tz]],["deit",["DeiTForImageClassification",t2]],["convnext",["ConvNextForImageClassification",nu]],["convnextv2",["ConvNextV2ForImageClassification",np]],["dinov2",["Dinov2ForImageClassification",nw]],["resnet",["ResNetForImageClassification",t4]],["swin",["SwinForImageClassification",t6]],["segformer",["SegformerForImageClassification",ag]],["efficientnet",["EfficientNetForImageClassification",ab]]]),aV=new Map([["detr",["DetrForObjectDetection",tW]],["table-transformer",["TableTransformerForObjectDetection",tH]],["yolos",["YolosForObjectDetection",nM]]]),az=new Map([["owlvit",["OwlViTForObjectDetection",tD]],["owlv2",["Owlv2ForObjectDetection",tN]]]),aj=new Map([["detr",["DetrForSegmentation",tR]],["clipseg",["CLIPSegForImageSegmentation",sZ]]]),a$=new Map([["segformer",["SegformerForSemanticSegmentation",aw]]]),aW=new 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_next/static/css/340fba77366dfc7d.css
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_next/static/{sS3KCrv4R0AkB6q5rvqSN → ss7CKkqdkp8gKJJffXP0l}/_buildManifest.js
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icons/safari-pinned-tab.svg
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index.html
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