"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[132],{99454: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$X:function(){return a0},t78:function(){return a9},tLj:function(){return ie},wiU:function(){return a8},z6E:function(){return a6}});var n=t(90016),a=t(20761),i=t(40911),o=t(45774),r=t(62414),l=t(71542),c=t(78703);let{InferenceSession:d,Tensor:_,env:u}=l.ONNX,h={EncoderOnly:0,EncoderDecoder:1,Seq2Seq:2,Vision2Seq:3,DecoderOnly:4,MaskGeneration:5},m=new Map,p=new Map,f=new Map;async function g(e,s,t){let n=`onnx/${s}${t.quantized?"_quantized":""}.onnx`,a=await (0,i.st)(e,n,!0,t);try{return await d.create(a,{executionProviders:l.p})}catch(e){if(1===l.p.length&&"wasm"===l.p[0])throw e;return console.warn(e),console.warn("Something went wrong during model construction (most likely a missing operation). 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r.es("float32",[],s),e[`past_key_values.${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$=new Map([["segformer",["SegformerForSemanticSegmentation",aw]]]),aW=new Map([["sam",["SamModel",nv]]]),aR=new Map([["wav2vec2",["Wav2Vec2ForCTC",nT]],["wav2vec2-bert",["Wav2Vec2BertForCTC",nX]],["unispeech",["UniSpeechForCTC",nG]],["unispeech-sat",["UniSpeechSatForCTC",n$]],["wavlm",["WavLMForCTC",n0]],["hubert",["HubertForCTC",nJ]]]),aQ=new Map([["wav2vec2",["Wav2Vec2ForSequenceClassification",nD]],["wav2vec2-bert",["Wav2Vec2BertForSequenceClassification",nK]],["unispeech",["UniSpeechForSequenceClassification",nV]],["unispeech-sat",["UniSpeechSatForSequenceClassification",nW]],["wavlm",["WavLMForSequenceClassification",n1]],["hubert",["HubertForSequenceClassification",nZ]],["audio-spectrogram-transformer",["ASTForAudioClassification",sD]]]),aU=new Map([["wavlm",["WavLMForXVector",n4]]]),aX=new Map([["unispeech-sat",["UniSpeechSatForAudioFrameClassification",nR]],["wavlm",["WavLMForAudioFrameClassification",n3]],["wav2vec2",["Wav2Vec2ForAudioFrameClassification",nI]]]),aK=new Map([["vitmatte",["VitMatteForImageMatting",tA]]]),aH=new Map([["swin2sr",["Swin2SRForImageSuperResolution",t8]]]),aJ=new Map([["dpt",["DPTForDepthEstimation",nt]],["depth_anything",["DepthAnythingForDepthEstimation",na]],["glpn",["GLPNForDepthEstimation",nr]]]),aZ=new Map([["clip",["CLIPVisionModelWithProjection",s$]],["siglip",["SiglipVisionModel",sU]]]),aY=[[aS,h.EncoderOnly],[aC,h.EncoderDecoder],[aF,h.DecoderOnly],[aE,h.EncoderOnly],[aO,h.EncoderOnly],[aB,h.Seq2Seq],[aL,h.Seq2Seq],[aT,h.DecoderOnly],[aD,h.EncoderOnly],[aI,h.EncoderOnly],[aq,h.Vision2Seq],[aG,h.EncoderOnly],[aj,h.EncoderOnly],[a$,h.EncoderOnly],[aK,h.EncoderOnly],[aH,h.EncoderOnly],[aJ,h.EncoderOnly],[aV,h.EncoderOnly],[az,h.EncoderOnly],[aW,h.MaskGeneration],[aR,h.EncoderOnly],[aQ,h.EncoderOnly],[aA,h.Seq2Seq],[aP,h.EncoderOnly],[aU,h.EncoderOnly],[aX,h.EncoderOnly],[aZ,h.EncoderOnly]];for(let[e,s]of aY)for(let[t,n]of e.values())m.set(t,s),f.set(n,t),p.set(t,n);for(let[e,s,t]of[["CLIPTextModelWithProjection",sj,h.EncoderOnly],["SiglipTextModel",sQ,h.EncoderOnly],["ClapTextModelWithProjection",au,h.EncoderOnly],["ClapAudioModelWithProjection",ah,h.EncoderOnly]])m.set(e,t),f.set(s,e),p.set(e,s);class a2 extends av{static MODEL_CLASS_MAPPINGS=aY.map(e=>e[0]);static BASE_IF_FAIL=!0}class a0 extends av{static MODEL_CLASS_MAPPINGS=[aE]}class a1 extends av{static MODEL_CLASS_MAPPINGS=[aO]}class a4 extends av{static MODEL_CLASS_MAPPINGS=[aB]}class a3 extends av{static MODEL_CLASS_MAPPINGS=[aL]}class a5 extends av{static MODEL_CLASS_MAPPINGS=[aA]}class a6 extends av{static MODEL_CLASS_MAPPINGS=[aP]}class a7 extends av{static MODEL_CLASS_MAPPINGS=[aT]}class a9 extends av{static MODEL_CLASS_MAPPINGS=[aD]}class a8 extends av{static MODEL_CLASS_MAPPINGS=[aI]}class ie extends av{static MODEL_CLASS_MAPPINGS=[aq]}class is extends av{static MODEL_CLASS_MAPPINGS=[aG]}class it extends av{static MODEL_CLASS_MAPPINGS=[aj]}class ia extends av{static MODEL_CLASS_MAPPINGS=[a$]}class ii extends av{static MODEL_CLASS_MAPPINGS=[aV]}class io extends av{static MODEL_CLASS_MAPPINGS=[az]}class ir extends av{static MODEL_CLASS_MAPPINGS=[aR]}class il extends av{static MODEL_CLASS_MAPPINGS=[aQ]}class ic extends av{static MODEL_CLASS_MAPPINGS=[aN]}class id extends av{static MODEL_CLASS_MAPPINGS=[aH]}class i_ extends av{static MODEL_CLASS_MAPPINGS=[aJ]}class iu extends av{static MODEL_CLASS_MAPPINGS=[aZ]}class ih extends O{constructor({logits:e,past_key_values:s,encoder_outputs:t,decoder_attentions:n=null,cross_attentions:a=null}){super(),this.logits=e,this.past_key_values=s,this.encoder_outputs=t,this.decoder_attentions=n,this.cross_attentions=a}}class im extends O{constructor({logits:e}){super(),this.logits=e}}class ip extends O{constructor({logits:e,embeddings:s}){super(),this.logits=e,this.embeddings=s}}class ig extends O{constructor({logits:e}){super(),this.logits=e}}class iw extends 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}}}}]);