import{S as RD,i as CD,s as FD,e as a,k as n,w as u1,t as s,M as MD,c as r,d as o,m as i,a as l,x as m1,h,b as e,N as g,F as t,g as b,y as _1,L as ID,q as b1,o as v1,B as p1}from"../chunks/vendor-4833417e.js";import{I as E1}from"../chunks/IconCopyLink-4b81c553.js";function PD(Tc){let bt,No,m,v,Rh,Ne,wc,Ch,Dc,ec,Oo,yc,ac,wt,kt,Fh,Oe,Ac,Mh,kc,rc,Rt,Ih,Dt,xo,Rc,Cc,zo,Fc,Mc,Vo,Ic,Pc,Ph,yt,qo,xe,Hc,Lc,_,Bc,Qo,Sc,Gc,ze,Nc,Oc,Ve,xc,zc,Vc,jo,qe,qc,oc,At,Ct,Hh,Qe,Qc,Lh,jc,lc,Ft,Bh,p,Wo,Wc,Uc,Uo,$c,Kc,$o,Yc,Xc,Sh,Jc,c,E,Ko,je,Zc,tf,Yo,ef,af,Xo,We,rf,of,Jo,Ue,Zo,T1,lf,T,tl,$e,nf,sf,el,hf,cf,al,Ke,ff,gf,rl,Ye,ol,w1,df,w,ll,Xe,uf,mf,nl,_f,bf,il,Je,vf,pf,sl,Ze,hl,D1,Ef,D,cl,ta,Tf,wf,fl,Df,yf,gl,ea,Af,kf,dl,aa,ul,y1,Rf,y,ml,ra,Cf,Ff,_l,Mf,If,bl,oa,Pf,Hf,vl,la,pl,A1,Lf,A,El,na,Bf,Sf,Tl,Gf,Nf,wl,ia,Of,xf,Dl,sa,yl,k1,zf,k,Al,ha,Vf,qf,kl,Qf,jf,Rl,ca,Wf,Uf,Cl,fa,Fl,R1,$f,R,Ml,ga,Kf,Yf,Il,Xf,Jf,Pl,da,Zf,tg,Hl,ua,Ll,C1,eg,C,Bl,ma,ag,rg,Sl,og,lg,Gl,_a,ng,ig,Nl,ba,Ol,F1,sg,F,xl,va,hg,cg,zl,fg,gg,Vl,pa,dg,ug,ql,Ea,Ql,M1,mg,M,jl,Ta,_g,bg,Wl,vg,pg,Ul,wa,Eg,Tg,$l,Da,Kl,I1,wg,I,Yl,ya,Dg,yg,Aa,Ag,Gh,kg,Rg,Xl,ka,Cg,Fg,Jl,Ra,Zl,P1,Mg,P,tn,Ca,Ig,Pg,en,Hg,Lg,an,Fa,Bg,Sg,rn,Ma,on,H1,Gg,H,ln,Ia,Ng,Og,nn,xg,zg,sn,Pa,Vg,qg,hn,Ha,cn,L1,Qg,L,fn,La,jg,Wg,gn,Ug,$g,dn,Ba,Kg,Yg,un,Sa,mn,B1,Xg,B,_n,Ga,Jg,Zg,bn,td,ed,vn,Na,ad,rd,pn,Oa,En,S1,od,S,Tn,xa,ld,nd,wn,id,sd,Dn,za,hd,cd,yn,Va,An,G1,fd,G,kn,qa,gd,dd,Rn,ud,md,Cn,Qa,_d,bd,Fn,ja,Mn,N1,vd,N,In,Wa,pd,Ed,Pn,Td,wd,Hn,Ua,Dd,yd,Ln,$a,Bn,O1,Ad,O,Sn,Ka,kd,Rd,Gn,Cd,Fd,Nn,Ya,Md,Id,On,Xa,xn,x1,Pd,x,zn,Ja,Hd,Ld,Vn,Bd,Sd,qn,Za,Gd,Nd,Qn,tr,jn,z1,Od,z,Wn,er,xd,zd,Un,Vd,qd,$n,ar,Qd,jd,Kn,rr,Yn,V1,Wd,V,Xn,or,Ud,$d,Jn,Kd,Yd,Zn,lr,Xd,Jd,ti,nr,ei,q1,Zd,q,ai,ir,tu,eu,ri,au,ru,oi,sr,ou,lu,li,hr,ni,Q1,nu,Q,ii,cr,iu,su,si,hu,cu,hi,fr,fu,gu,ci,gr,fi,j1,du,j,gi,dr,uu,mu,di,_u,bu,ui,ur,vu,pu,mi,mr,_i,W1,Eu,W,bi,_r,Tu,wu,vi,Du,yu,pi,br,Au,ku,Ei,vr,Ti,U1,Ru,U,wi,pr,Cu,Fu,vt,Mu,Nh,Iu,Pu,Oh,Hu,Lu,Bu,Di,Er,Su,Gu,yi,Tr,Ai,$1,Nu,$,ki,wr,Ou,xu,pt,zu,xh,Vu,qu,zh,Qu,ju,Wu,Ri,Dr,Uu,$u,Ci,yr,Fi,K1,Ku,K,Mi,Ar,Yu,Xu,Et,Ju,Vh,Zu,tm,qh,em,am,rm,Ii,kr,om,lm,Pi,Rr,Hi,Y1,nm,Y,Li,Cr,im,sm,Tt,hm,Qh,cm,fm,jh,gm,dm,um,Bi,Fr,mm,_m,Si,Mr,Gi,X1,bm,X,Ni,Ir,vm,pm,Oi,Em,Tm,xi,Pr,wm,Dm,zi,Hr,Vi,J1,ym,J,qi,Lr,Am,km,Mt,Rm,Wh,Cm,Fm,Mm,Qi,Br,Im,Pm,ji,Sr,Wi,Z1,Hm,Z,Ui,Gr,Lm,Bm,$i,Sm,Gm,Ki,Nr,Nm,Om,Yi,Or,Xi,tv,xm,tt,Ji,xr,zm,Vm,Zi,qm,Qm,ts,zr,jm,Wm,es,Vr,as,ev,Um,et,rs,qr,$m,Km,os,Ym,Xm,ls,Qr,Jm,Zm,ns,jr,is,av,t_,at,ss,Wr,e_,a_,It,r_,Uh,o_,l_,n_,hs,Ur,i_,s_,cs,$r,fs,rv,h_,rt,gs,Kr,c_,f_,ds,g_,d_,us,Yr,u_,m_,ms,Xr,_s,ov,__,ot,bs,Jr,b_,v_,vs,p_,E_,ps,Zr,T_,w_,Es,to,Ts,lv,D_,lt,ws,eo,y_,A_,Ds,k_,R_,ys,ao,C_,F_,As,ro,ks,nv,M_,nt,Rs,oo,I_,P_,Cs,H_,L_,Fs,lo,B_,S_,Ms,no,Is,iv,G_,it,Ps,io,N_,O_,Hs,x_,z_,Ls,so,V_,q_,Bs,ho,Ss,sv,Q_,st,Gs,co,j_,W_,Ns,U_,$_,Os,fo,K_,Y_,xs,go,zs,hv,X_,ht,Vs,uo,J_,Z_,Pt,tb,$h,eb,ab,rb,qs,mo,ob,lb,Qs,_o,js,cv,nb,ct,Ws,bo,ib,sb,Ht,hb,Kh,cb,fb,gb,Us,vo,db,ub,$s,po,Ks,fv,mb,ft,Ys,Eo,_b,bb,Lt,vb,Yh,pb,Eb,Tb,Xs,To,wb,Db,Js,wo,Zs,gv,yb,gt,th,Do,Ab,kb,Bt,Rb,Xh,Cb,Fb,Mb,eh,yo,Ib,Pb,ah,Ao,rh,dv,Hb,dt,oh,ko,Lb,Bb,lh,Sb,Gb,nh,Ro,Nb,Ob,ih,Co,sh,uv,xb,ut,hh,Fo,zb,Vb,St,qb,Jh,Qb,jb,Wb,ch,Mo,Ub,$b,fh,Io,gh,mv,Kb,mt,dh,Po,Yb,Xb,Gt,Jb,Zh,Zb,t1,e1,uh,Ho,a1,r1,mh,Lo,_h,_v,o1,_t,bh,Bo,l1,n1,Nt,i1,tc,s1,h1,c1,vh,So,f1,g1,ph,Go,Eh,bv,nc;return Ne=new E1({}),Oe=new E1({}),Qe=new E1({}),{c(){bt=a("meta"),No=n(),m=a("h1"),v=a("a"),Rh=a("span"),u1(Ne.$$.fragment),wc=n(),Ch=a("span"),Dc=s("Community"),ec=n(),Oo=a("p"),yc=s("This page regroups resources around \u{1F917} Transformers developed by the community."),ac=n(),wt=a("h2"),kt=a("a"),Fh=a("span"),u1(Oe.$$.fragment),Ac=n(),Mh=a("span"),kc=s("Community resources:"),rc=n(),Rt=a("table"),Ih=a("thead"),Dt=a("tr"),xo=a("th"),Rc=s("Resource"),Cc=n(),zo=a("th"),Fc=s("Description"),Mc=n(),Vo=a("th"),Ic=s("Author"),Pc=n(),Ph=a("tbody"),yt=a("tr"),qo=a("td"),xe=a("a"),Hc=s("Hugging Face Transformers Glossary Flashcards"),Lc=n(),_=a("td"),Bc=s("A set of flashcards based on the "),Qo=a("a"),Sc=s("Transformers Docs Glossary"),Gc=s(" that has been put into a form which can be easily learnt/revised using "),ze=a("a"),Nc=s("Anki"),Oc=s(" an open source, cross platform app specifically designed for long term knowledge retention. See this "),Ve=a("a"),xc=s("Introductory video on how to use the flashcards"),zc=s("."),Vc=n(),jo=a("td"),qe=a("a"),qc=s("Darigov Research"),oc=n(),At=a("h2"),Ct=a("a"),Hh=a("span"),u1(Qe.$$.fragment),Qc=n(),Lh=a("span"),jc=s("Community notebooks:"),lc=n(),Ft=a("table"),Bh=a("thead"),p=a("tr"),Wo=a("th"),Wc=s("Notebook"),Uc=n(),Uo=a("th"),$c=s("Description"),Kc=n(),$o=a("th"),Yc=s("Author"),Xc=n(),Sh=a("th"),Jc=n(),c=a("tbody"),E=a("tr"),Ko=a("td"),je=a("a"),Zc=s("Fine-tune a pre-trained Transformer to generate lyrics"),tf=n(),Yo=a("td"),ef=s("How to generate lyrics in the style of your favorite artist by fine-tuning a GPT-2 model"),af=n(),Xo=a("td"),We=a("a"),rf=s("Aleksey Korshuk"),of=n(),Jo=a("td"),Ue=a("a"),Zo=a("img"),lf=n(),T=a("tr"),tl=a("td"),$e=a("a"),nf=s("Train T5 in Tensorflow 2"),sf=n(),el=a("td"),hf=s("How to train T5 for any task using Tensorflow 2. This notebook demonstrates a Question & Answer task implemented in Tensorflow 2 using SQUAD"),cf=n(),al=a("td"),Ke=a("a"),ff=s("Muhammad Harris"),gf=n(),rl=a("td"),Ye=a("a"),ol=a("img"),df=n(),w=a("tr"),ll=a("td"),Xe=a("a"),uf=s("Train T5 on TPU"),mf=n(),nl=a("td"),_f=s("How to train T5 on SQUAD with Transformers and Nlp"),bf=n(),il=a("td"),Je=a("a"),vf=s("Suraj Patil"),pf=n(),sl=a("td"),Ze=a("a"),hl=a("img"),Ef=n(),D=a("tr"),cl=a("td"),ta=a("a"),Tf=s("Fine-tune T5 for Classification and Multiple Choice"),wf=n(),fl=a("td"),Df=s("How to fine-tune T5 for classification and multiple choice tasks using a text-to-text format with PyTorch Lightning"),yf=n(),gl=a("td"),ea=a("a"),Af=s("Suraj Patil"),kf=n(),dl=a("td"),aa=a("a"),ul=a("img"),Rf=n(),y=a("tr"),ml=a("td"),ra=a("a"),Cf=s("Fine-tune DialoGPT on New Datasets and Languages"),Ff=n(),_l=a("td"),Mf=s("How to fine-tune the DialoGPT model on a new dataset for open-dialog conversational chatbots"),If=n(),bl=a("td"),oa=a("a"),Pf=s("Nathan Cooper"),Hf=n(),vl=a("td"),la=a("a"),pl=a("img"),Lf=n(),A=a("tr"),El=a("td"),na=a("a"),Bf=s("Long Sequence Modeling with Reformer"),Sf=n(),Tl=a("td"),Gf=s("How to train on sequences as long as 500,000 tokens with Reformer"),Nf=n(),wl=a("td"),ia=a("a"),Of=s("Patrick von Platen"),xf=n(),Dl=a("td"),sa=a("a"),yl=a("img"),zf=n(),k=a("tr"),Al=a("td"),ha=a("a"),Vf=s("Fine-tune BART for Summarization"),qf=n(),kl=a("td"),Qf=s("How to fine-tune BART for summarization with fastai using blurr"),jf=n(),Rl=a("td"),ca=a("a"),Wf=s("Wayde Gilliam"),Uf=n(),Cl=a("td"),fa=a("a"),Fl=a("img"),$f=n(),R=a("tr"),Ml=a("td"),ga=a("a"),Kf=s("Fine-tune a pre-trained Transformer on anyone\u2019s tweets"),Yf=n(),Il=a("td"),Xf=s("How to generate tweets in the style of your favorite Twitter account by fine-tuning a GPT-2 model"),Jf=n(),Pl=a("td"),da=a("a"),Zf=s("Boris Dayma"),tg=n(),Hl=a("td"),ua=a("a"),Ll=a("img"),eg=n(),C=a("tr"),Bl=a("td"),ma=a("a"),ag=s("Optimize \u{1F917} Hugging Face models with Weights & Biases"),rg=n(),Sl=a("td"),og=s("A complete tutorial showcasing W&B integration with Hugging Face"),lg=n(),Gl=a("td"),_a=a("a"),ng=s("Boris Dayma"),ig=n(),Nl=a("td"),ba=a("a"),Ol=a("img"),sg=n(),F=a("tr"),xl=a("td"),va=a("a"),hg=s("Pretrain Longformer"),cg=n(),zl=a("td"),fg=s("How to build a \u201Clong\u201D version of existing pretrained models"),gg=n(),Vl=a("td"),pa=a("a"),dg=s("Iz Beltagy"),ug=n(),ql=a("td"),Ea=a("a"),Ql=a("img"),mg=n(),M=a("tr"),jl=a("td"),Ta=a("a"),_g=s("Fine-tune Longformer for QA"),bg=n(),Wl=a("td"),vg=s("How to fine-tune longformer model for QA task"),pg=n(),Ul=a("td"),wa=a("a"),Eg=s("Suraj Patil"),Tg=n(),$l=a("td"),Da=a("a"),Kl=a("img"),wg=n(),I=a("tr"),Yl=a("td"),ya=a("a"),Dg=s("Evaluate Model with \u{1F917}nlp"),yg=n(),Aa=a("td"),Ag=s("How to evaluate longformer on TriviaQA with "),Gh=a("code"),kg=s("nlp"),Rg=n(),Xl=a("td"),ka=a("a"),Cg=s("Patrick von Platen"),Fg=n(),Jl=a("td"),Ra=a("a"),Zl=a("img"),Mg=n(),P=a("tr"),tn=a("td"),Ca=a("a"),Ig=s("Fine-tune T5 for Sentiment Span Extraction"),Pg=n(),en=a("td"),Hg=s("How to fine-tune T5 for sentiment span extraction using a text-to-text format with PyTorch Lightning"),Lg=n(),an=a("td"),Fa=a("a"),Bg=s("Lorenzo Ampil"),Sg=n(),rn=a("td"),Ma=a("a"),on=a("img"),Gg=n(),H=a("tr"),ln=a("td"),Ia=a("a"),Ng=s("Fine-tune DistilBert for Multiclass Classification"),Og=n(),nn=a("td"),xg=s("How to fine-tune DistilBert for multiclass classification with PyTorch"),zg=n(),sn=a("td"),Pa=a("a"),Vg=s("Abhishek Kumar Mishra"),qg=n(),hn=a("td"),Ha=a("a"),cn=a("img"),Qg=n(),L=a("tr"),fn=a("td"),La=a("a"),jg=s("Fine-tune BERT for Multi-label Classification"),Wg=n(),gn=a("td"),Ug=s("How to fine-tune BERT for multi-label classification using PyTorch"),$g=n(),dn=a("td"),Ba=a("a"),Kg=s("Abhishek Kumar Mishra"),Yg=n(),un=a("td"),Sa=a("a"),mn=a("img"),Xg=n(),B=a("tr"),_n=a("td"),Ga=a("a"),Jg=s("Fine-tune T5 for Summarization"),Zg=n(),bn=a("td"),td=s("How to fine-tune T5 for summarization in PyTorch and track experiments with WandB"),ed=n(),vn=a("td"),Na=a("a"),ad=s("Abhishek Kumar Mishra"),rd=n(),pn=a("td"),Oa=a("a"),En=a("img"),od=n(),S=a("tr"),Tn=a("td"),xa=a("a"),ld=s("Speed up Fine-Tuning in Transformers with Dynamic Padding / Bucketing"),nd=n(),wn=a("td"),id=s("How to speed up fine-tuning by a factor of 2 using dynamic padding / bucketing"),sd=n(),Dn=a("td"),za=a("a"),hd=s("Michael Benesty"),cd=n(),yn=a("td"),Va=a("a"),An=a("img"),fd=n(),G=a("tr"),kn=a("td"),qa=a("a"),gd=s("Pretrain Reformer for Masked Language Modeling"),dd=n(),Rn=a("td"),ud=s("How to train a Reformer model with bi-directional self-attention layers"),md=n(),Cn=a("td"),Qa=a("a"),_d=s("Patrick von Platen"),bd=n(),Fn=a("td"),ja=a("a"),Mn=a("img"),vd=n(),N=a("tr"),In=a("td"),Wa=a("a"),pd=s("Expand and Fine Tune Sci-BERT"),Ed=n(),Pn=a("td"),Td=s("How to increase vocabulary of a pretrained SciBERT model from AllenAI on the CORD dataset and pipeline it."),wd=n(),Hn=a("td"),Ua=a("a"),Dd=s("Tanmay Thakur"),yd=n(),Ln=a("td"),$a=a("a"),Bn=a("img"),Ad=n(),O=a("tr"),Sn=a("td"),Ka=a("a"),kd=s("Fine Tune BlenderBotSmall for Summarization using the Trainer API"),Rd=n(),Gn=a("td"),Cd=s("How to fine tune BlenderBotSmall for summarization on a custom dataset, using the Trainer API."),Fd=n(),Nn=a("td"),Ya=a("a"),Md=s("Tanmay Thakur"),Id=n(),On=a("td"),Xa=a("a"),xn=a("img"),Pd=n(),x=a("tr"),zn=a("td"),Ja=a("a"),Hd=s("Fine-tune Electra and interpret with Integrated Gradients"),Ld=n(),Vn=a("td"),Bd=s("How to fine-tune Electra for sentiment analysis and interpret predictions with Captum Integrated Gradients"),Sd=n(),qn=a("td"),Za=a("a"),Gd=s("Eliza Szczechla"),Nd=n(),Qn=a("td"),tr=a("a"),jn=a("img"),Od=n(),z=a("tr"),Wn=a("td"),er=a("a"),xd=s("fine-tune a non-English GPT-2 Model with Trainer class"),zd=n(),Un=a("td"),Vd=s("How to fine-tune a non-English GPT-2 Model with Trainer class"),qd=n(),$n=a("td"),ar=a("a"),Qd=s("Philipp Schmid"),jd=n(),Kn=a("td"),rr=a("a"),Yn=a("img"),Wd=n(),V=a("tr"),Xn=a("td"),or=a("a"),Ud=s("Fine-tune a DistilBERT Model for Multi Label Classification task"),$d=n(),Jn=a("td"),Kd=s("How to fine-tune a DistilBERT Model for Multi Label Classification task"),Yd=n(),Zn=a("td"),lr=a("a"),Xd=s("Dhaval Taunk"),Jd=n(),ti=a("td"),nr=a("a"),ei=a("img"),Zd=n(),q=a("tr"),ai=a("td"),ir=a("a"),tu=s("Fine-tune ALBERT for sentence-pair classification"),eu=n(),ri=a("td"),au=s("How to fine-tune an ALBERT model or another BERT-based model for the sentence-pair classification task"),ru=n(),oi=a("td"),sr=a("a"),ou=s("Nadir El Manouzi"),lu=n(),li=a("td"),hr=a("a"),ni=a("img"),nu=n(),Q=a("tr"),ii=a("td"),cr=a("a"),iu=s("Fine-tune Roberta for sentiment analysis"),su=n(),si=a("td"),hu=s("How to fine-tune a Roberta model for sentiment analysis"),cu=n(),hi=a("td"),fr=a("a"),fu=s("Dhaval Taunk"),gu=n(),ci=a("td"),gr=a("a"),fi=a("img"),du=n(),j=a("tr"),gi=a("td"),dr=a("a"),uu=s("Evaluating Question Generation Models"),mu=n(),di=a("td"),_u=s("How accurate are the answers to questions generated by your seq2seq transformer model?"),bu=n(),ui=a("td"),ur=a("a"),vu=s("Pascal Zoleko"),pu=n(),mi=a("td"),mr=a("a"),_i=a("img"),Eu=n(),W=a("tr"),bi=a("td"),_r=a("a"),Tu=s("Classify text with DistilBERT and Tensorflow"),wu=n(),vi=a("td"),Du=s("How to fine-tune DistilBERT for text classification in TensorFlow"),yu=n(),pi=a("td"),br=a("a"),Au=s("Peter Bayerle"),ku=n(),Ei=a("td"),vr=a("a"),Ti=a("img"),Ru=n(),U=a("tr"),wi=a("td"),pr=a("a"),Cu=s("Leverage BERT for Encoder-Decoder Summarization on CNN/Dailymail"),Fu=n(),vt=a("td"),Mu=s("How to warm-start a "),Nh=a("em"),Iu=s("EncoderDecoderModel"),Pu=s(" with a "),Oh=a("em"),Hu=s("bert-base-uncased"),Lu=s(" checkpoint for summarization on CNN/Dailymail"),Bu=n(),Di=a("td"),Er=a("a"),Su=s("Patrick von Platen"),Gu=n(),yi=a("td"),Tr=a("a"),Ai=a("img"),Nu=n(),$=a("tr"),ki=a("td"),wr=a("a"),Ou=s("Leverage RoBERTa for Encoder-Decoder Summarization on BBC XSum"),xu=n(),pt=a("td"),zu=s("How to warm-start a shared "),xh=a("em"),Vu=s("EncoderDecoderModel"),qu=s(" with a "),zh=a("em"),Qu=s("roberta-base"),ju=s(" checkpoint for summarization on BBC/XSum"),Wu=n(),Ri=a("td"),Dr=a("a"),Uu=s("Patrick von Platen"),$u=n(),Ci=a("td"),yr=a("a"),Fi=a("img"),Ku=n(),K=a("tr"),Mi=a("td"),Ar=a("a"),Yu=s("Fine-tune TAPAS on Sequential Question Answering (SQA)"),Xu=n(),Et=a("td"),Ju=s("How to fine-tune "),Vh=a("em"),Zu=s("TapasForQuestionAnswering"),tm=s(" with a "),qh=a("em"),em=s("tapas-base"),am=s(" checkpoint on the Sequential Question Answering (SQA) dataset"),rm=n(),Ii=a("td"),kr=a("a"),om=s("Niels Rogge"),lm=n(),Pi=a("td"),Rr=a("a"),Hi=a("img"),nm=n(),Y=a("tr"),Li=a("td"),Cr=a("a"),im=s("Evaluate TAPAS on Table Fact Checking (TabFact)"),sm=n(),Tt=a("td"),hm=s("How to evaluate a fine-tuned "),Qh=a("em"),cm=s("TapasForSequenceClassification"),fm=s(" with a "),jh=a("em"),gm=s("tapas-base-finetuned-tabfact"),dm=s(" checkpoint using a combination of the \u{1F917} datasets and \u{1F917} transformers libraries"),um=n(),Bi=a("td"),Fr=a("a"),mm=s("Niels Rogge"),_m=n(),Si=a("td"),Mr=a("a"),Gi=a("img"),bm=n(),X=a("tr"),Ni=a("td"),Ir=a("a"),vm=s("Fine-tuning mBART for translation"),pm=n(),Oi=a("td"),Em=s("How to fine-tune mBART using Seq2SeqTrainer for Hindi to English translation"),Tm=n(),xi=a("td"),Pr=a("a"),wm=s("Vasudev Gupta"),Dm=n(),zi=a("td"),Hr=a("a"),Vi=a("img"),ym=n(),J=a("tr"),qi=a("td"),Lr=a("a"),Am=s("Fine-tune LayoutLM on FUNSD (a form understanding dataset)"),km=n(),Mt=a("td"),Rm=s("How to fine-tune "),Wh=a("em"),Cm=s("LayoutLMForTokenClassification"),Fm=s(" on the FUNSD dataset for information extraction from scanned documents"),Mm=n(),Qi=a("td"),Br=a("a"),Im=s("Niels Rogge"),Pm=n(),ji=a("td"),Sr=a("a"),Wi=a("img"),Hm=n(),Z=a("tr"),Ui=a("td"),Gr=a("a"),Lm=s("Fine-Tune DistilGPT2 and Generate Text"),Bm=n(),$i=a("td"),Sm=s("How to fine-tune DistilGPT2 and generate text"),Gm=n(),Ki=a("td"),Nr=a("a"),Nm=s("Aakash Tripathi"),Om=n(),Yi=a("td"),Or=a("a"),Xi=a("img"),xm=n(),tt=a("tr"),Ji=a("td"),xr=a("a"),zm=s("Fine-Tune LED on up to 8K tokens"),Vm=n(),Zi=a("td"),qm=s("How to fine-tune LED on pubmed for long-range summarization"),Qm=n(),ts=a("td"),zr=a("a"),jm=s("Patrick von Platen"),Wm=n(),es=a("td"),Vr=a("a"),as=a("img"),Um=n(),et=a("tr"),rs=a("td"),qr=a("a"),$m=s("Evaluate LED on Arxiv"),Km=n(),os=a("td"),Ym=s("How to effectively evaluate LED on long-range summarization"),Xm=n(),ls=a("td"),Qr=a("a"),Jm=s("Patrick von Platen"),Zm=n(),ns=a("td"),jr=a("a"),is=a("img"),t_=n(),at=a("tr"),ss=a("td"),Wr=a("a"),e_=s("Fine-tune LayoutLM on RVL-CDIP (a document image classification dataset)"),a_=n(),It=a("td"),r_=s("How to fine-tune "),Uh=a("em"),o_=s("LayoutLMForSequenceClassification"),l_=s(" on the RVL-CDIP dataset for scanned document classification"),n_=n(),hs=a("td"),Ur=a("a"),i_=s("Niels Rogge"),s_=n(),cs=a("td"),$r=a("a"),fs=a("img"),h_=n(),rt=a("tr"),gs=a("td"),Kr=a("a"),c_=s("Wav2Vec2 CTC decoding with GPT2 adjustment"),f_=n(),ds=a("td"),g_=s("How to decode CTC sequence with language model adjustment"),d_=n(),us=a("td"),Yr=a("a"),u_=s("Eric Lam"),m_=n(),ms=a("td"),Xr=a("a"),_s=a("img"),__=n(),ot=a("tr"),bs=a("td"),Jr=a("a"),b_=s("Fine-tune BART for summarization in two languages with Trainer class"),v_=n(),vs=a("td"),p_=s("How to fine-tune BART for summarization in two languages with Trainer class"),E_=n(),ps=a("td"),Zr=a("a"),T_=s("Eliza Szczechla"),w_=n(),Es=a("td"),to=a("a"),Ts=a("img"),D_=n(),lt=a("tr"),ws=a("td"),eo=a("a"),y_=s("Evaluate Big Bird on Trivia QA"),A_=n(),Ds=a("td"),k_=s("How to evaluate BigBird on long document question answering on Trivia QA"),R_=n(),ys=a("td"),ao=a("a"),C_=s("Patrick von Platen"),F_=n(),As=a("td"),ro=a("a"),ks=a("img"),M_=n(),nt=a("tr"),Rs=a("td"),oo=a("a"),I_=s("Create video captions using Wav2Vec2"),P_=n(),Cs=a("td"),H_=s("How to create YouTube captions from any video by transcribing the audio with Wav2Vec"),L_=n(),Fs=a("td"),lo=a("a"),B_=s("Niklas Muennighoff"),S_=n(),Ms=a("td"),no=a("a"),Is=a("img"),G_=n(),it=a("tr"),Ps=a("td"),io=a("a"),N_=s("Fine-tune the Vision Transformer on CIFAR-10 using PyTorch Lightning"),O_=n(),Hs=a("td"),x_=s("How to fine-tune the Vision Transformer (ViT) on CIFAR-10 using HuggingFace Transformers, Datasets and PyTorch Lightning"),z_=n(),Ls=a("td"),so=a("a"),V_=s("Niels Rogge"),q_=n(),Bs=a("td"),ho=a("a"),Ss=a("img"),Q_=n(),st=a("tr"),Gs=a("td"),co=a("a"),j_=s("Fine-tune the Vision Transformer on CIFAR-10 using the \u{1F917} Trainer"),W_=n(),Ns=a("td"),U_=s("How to fine-tune the Vision Transformer (ViT) on CIFAR-10 using HuggingFace Transformers, Datasets and the \u{1F917} Trainer"),$_=n(),Os=a("td"),fo=a("a"),K_=s("Niels Rogge"),Y_=n(),xs=a("td"),go=a("a"),zs=a("img"),X_=n(),ht=a("tr"),Vs=a("td"),uo=a("a"),J_=s("Evaluate LUKE on Open Entity, an entity typing dataset"),Z_=n(),Pt=a("td"),tb=s("How to evaluate "),$h=a("em"),eb=s("LukeForEntityClassification"),ab=s(" on the Open Entity dataset"),rb=n(),qs=a("td"),mo=a("a"),ob=s("Ikuya Yamada"),lb=n(),Qs=a("td"),_o=a("a"),js=a("img"),nb=n(),ct=a("tr"),Ws=a("td"),bo=a("a"),ib=s("Evaluate LUKE on TACRED, a relation extraction dataset"),sb=n(),Ht=a("td"),hb=s("How to evaluate "),Kh=a("em"),cb=s("LukeForEntityPairClassification"),fb=s(" on the TACRED dataset"),gb=n(),Us=a("td"),vo=a("a"),db=s("Ikuya Yamada"),ub=n(),$s=a("td"),po=a("a"),Ks=a("img"),mb=n(),ft=a("tr"),Ys=a("td"),Eo=a("a"),_b=s("Evaluate LUKE on CoNLL-2003, an important NER benchmark"),bb=n(),Lt=a("td"),vb=s("How to evaluate "),Yh=a("em"),pb=s("LukeForEntitySpanClassification"),Eb=s(" on the CoNLL-2003 dataset"),Tb=n(),Xs=a("td"),To=a("a"),wb=s("Ikuya Yamada"),Db=n(),Js=a("td"),wo=a("a"),Zs=a("img"),yb=n(),gt=a("tr"),th=a("td"),Do=a("a"),Ab=s("Evaluate BigBird-Pegasus on PubMed dataset"),kb=n(),Bt=a("td"),Rb=s("How to evaluate "),Xh=a("em"),Cb=s("BigBirdPegasusForConditionalGeneration"),Fb=s(" on PubMed dataset"),Mb=n(),eh=a("td"),yo=a("a"),Ib=s("Vasudev Gupta"),Pb=n(),ah=a("td"),Ao=a("a"),rh=a("img"),Hb=n(),dt=a("tr"),oh=a("td"),ko=a("a"),Lb=s("Speech Emotion Classification with Wav2Vec2"),Bb=n(),lh=a("td"),Sb=s("How to leverage a pretrained Wav2Vec2 model for Emotion Classification on the MEGA dataset"),Gb=n(),nh=a("td"),Ro=a("a"),Nb=s("Mehrdad Farahani"),Ob=n(),ih=a("td"),Co=a("a"),sh=a("img"),xb=n(),ut=a("tr"),hh=a("td"),Fo=a("a"),zb=s("Detect objects in an image with DETR"),Vb=n(),St=a("td"),qb=s("How to use a trained "),Jh=a("em"),Qb=s("DetrForObjectDetection"),jb=s(" model to detect objects in an image and visualize attention"),Wb=n(),ch=a("td"),Mo=a("a"),Ub=s("Niels Rogge"),$b=n(),fh=a("td"),Io=a("a"),gh=a("img"),Kb=n(),mt=a("tr"),dh=a("td"),Po=a("a"),Yb=s("Fine-tune DETR on a custom object detection dataset"),Xb=n(),Gt=a("td"),Jb=s("How to fine-tune "),Zh=a("em"),Zb=s("DetrForObjectDetection"),t1=s(" on a custom object detection dataset"),e1=n(),uh=a("td"),Ho=a("a"),a1=s("Niels Rogge"),r1=n(),mh=a("td"),Lo=a("a"),_h=a("img"),o1=n(),_t=a("tr"),bh=a("td"),Bo=a("a"),l1=s("Finetune T5 for Named Entity Recognition"),n1=n(),Nt=a("td"),i1=s("How to fine-tune "),tc=a("em"),s1=s("T5"),h1=s(" on a Named Entity Recognition Task"),c1=n(),vh=a("td"),So=a("a"),f1=s("Ogundepo Odunayo"),g1=n(),ph=a("td"),Go=a("a"),Eh=a("img"),this.h()},l(d){const u=MD('[data-svelte="svelte-1phssyn"]',document.head);bt=r(u,"META",{name:!0,content:!0}),u.forEach(o),No=i(d),m=r(d,"H1",{class:!0});var ic=l(m);v=r(ic,"A",{id:!0,class:!0,href:!0});var vv=l(v);Rh=r(vv,"SPAN",{});var pv=l(Rh);m1(Ne.$$.fragment,pv),pv.forEach(o),vv.forEach(o),wc=i(ic),Ch=r(ic,"SPAN",{});var Ev=l(Ch);Dc=h(Ev,"Community"),Ev.forEach(o),ic.forEach(o),ec=i(d),Oo=r(d,"P",{});var Tv=l(Oo);yc=h(Tv,"This page regroups resources around \u{1F917} Transformers developed by the community."),Tv.forEach(o),ac=i(d),wt=r(d,"H2",{class:!0});var sc=l(wt);kt=r(sc,"A",{id:!0,class:!0,href:!0});var wv=l(kt);Fh=r(wv,"SPAN",{});var Dv=l(Fh);m1(Oe.$$.fragment,Dv),Dv.forEach(o),wv.forEach(o),Ac=i(sc),Mh=r(sc,"SPAN",{});var yv=l(Mh);kc=h(yv,"Community resources:"),yv.forEach(o),sc.forEach(o),rc=i(d),Rt=r(d,"TABLE",{});var hc=l(Rt);Ih=r(hc,"THEAD",{});var Av=l(Ih);Dt=r(Av,"TR",{});var Th=l(Dt);xo=r(Th,"TH",{align:!0});var kv=l(xo);Rc=h(kv,"Resource"),kv.forEach(o),Cc=i(Th),zo=r(Th,"TH",{align:!0});var Rv=l(zo);Fc=h(Rv,"Description"),Rv.forEach(o),Mc=i(Th),Vo=r(Th,"TH",{align:!0});var Cv=l(Vo);Ic=h(Cv,"Author"),Cv.forEach(o),Th.forEach(o),Av.forEach(o),Pc=i(hc),Ph=r(hc,"TBODY",{});var Fv=l(Ph);yt=r(Fv,"TR",{});var wh=l(yt);qo=r(wh,"TD",{align:!0});var Mv=l(qo);xe=r(Mv,"A",{href:!0,rel:!0});var Iv=l(xe);Hc=h(Iv,"Hugging Face Transformers Glossary Flashcards"),Iv.forEach(o),Mv.forEach(o),Lc=i(wh),_=r(wh,"TD",{align:!0});var Ot=l(_);Bc=h(Ot,"A set of flashcards based on the "),Qo=r(Ot,"A",{href:!0});var Pv=l(Qo);Sc=h(Pv,"Transformers Docs Glossary"),Pv.forEach(o),Gc=h(Ot," that has been put into a form which can be easily learnt/revised using "),ze=r(Ot,"A",{href:!0,rel:!0});var Hv=l(ze);Nc=h(Hv,"Anki"),Hv.forEach(o),Oc=h(Ot," an open source, cross platform app specifically designed for long term knowledge retention. See this "),Ve=r(Ot,"A",{href:!0,rel:!0});var Lv=l(Ve);xc=h(Lv,"Introductory video on how to use the flashcards"),Lv.forEach(o),zc=h(Ot,"."),Ot.forEach(o),Vc=i(wh),jo=r(wh,"TD",{align:!0});var Bv=l(jo);qe=r(Bv,"A",{href:!0,rel:!0});var Sv=l(qe);qc=h(Sv,"Darigov Research"),Sv.forEach(o),Bv.forEach(o),wh.forEach(o),Fv.forEach(o),hc.forEach(o),oc=i(d),At=r(d,"H2",{class:!0});var cc=l(At);Ct=r(cc,"A",{id:!0,class:!0,href:!0});var Gv=l(Ct);Hh=r(Gv,"SPAN",{});var Nv=l(Hh);m1(Qe.$$.fragment,Nv),Nv.forEach(o),Gv.forEach(o),Qc=i(cc),Lh=r(cc,"SPAN",{});var Ov=l(Lh);jc=h(Ov,"Community notebooks:"),Ov.forEach(o),cc.forEach(o),lc=i(d),Ft=r(d,"TABLE",{});var fc=l(Ft);Bh=r(fc,"THEAD",{});var xv=l(Bh);p=r(xv,"TR",{});var xt=l(p);Wo=r(xt,"TH",{align:!0});var zv=l(Wo);Wc=h(zv,"Notebook"),zv.forEach(o),Uc=i(xt),Uo=r(xt,"TH",{align:!0});var Vv=l(Uo);$c=h(Vv,"Description"),Vv.forEach(o),Kc=i(xt),$o=r(xt,"TH",{align:!0});var qv=l($o);Yc=h(qv,"Author"),qv.forEach(o),Xc=i(xt),Sh=r(xt,"TH",{align:!0}),l(Sh).forEach(o),xt.forEach(o),xv.forEach(o),Jc=i(fc),c=r(fc,"TBODY",{});var f=l(c);E=r(f,"TR",{});var zt=l(E);Ko=r(zt,"TD",{align:!0});var Qv=l(Ko);je=r(Qv,"A",{href:!0,rel:!0});var jv=l(je);Zc=h(jv,"Fine-tune a pre-trained Transformer to generate lyrics"),jv.forEach(o),Qv.forEach(o),tf=i(zt),Yo=r(zt,"TD",{align:!0});var Wv=l(Yo);ef=h(Wv,"How to generate lyrics in the style of your favorite artist by fine-tuning a GPT-2 model"),Wv.forEach(o),af=i(zt),Xo=r(zt,"TD",{align:!0});var Uv=l(Xo);We=r(Uv,"A",{href:!0,rel:!0});var $v=l(We);rf=h($v,"Aleksey Korshuk"),$v.forEach(o),Uv.forEach(o),of=i(zt),Jo=r(zt,"TD",{align:!0});var Kv=l(Jo);Ue=r(Kv,"A",{href:!0,rel:!0});var Yv=l(Ue);Zo=r(Yv,"IMG",{src:!0,alt:!0}),Yv.forEach(o),Kv.forEach(o),zt.forEach(o),lf=i(f),T=r(f,"TR",{});var Vt=l(T);tl=r(Vt,"TD",{align:!0});var Xv=l(tl);$e=r(Xv,"A",{href:!0,rel:!0});var Jv=l($e);nf=h(Jv,"Train T5 in Tensorflow 2"),Jv.forEach(o),Xv.forEach(o),sf=i(Vt),el=r(Vt,"TD",{align:!0});var Zv=l(el);hf=h(Zv,"How to train T5 for any task using Tensorflow 2. This notebook demonstrates a Question & Answer task implemented in Tensorflow 2 using SQUAD"),Zv.forEach(o),cf=i(Vt),al=r(Vt,"TD",{align:!0});var tp=l(al);Ke=r(tp,"A",{href:!0,rel:!0});var ep=l(Ke);ff=h(ep,"Muhammad Harris"),ep.forEach(o),tp.forEach(o),gf=i(Vt),rl=r(Vt,"TD",{align:!0});var ap=l(rl);Ye=r(ap,"A",{href:!0,rel:!0});var rp=l(Ye);ol=r(rp,"IMG",{src:!0,alt:!0}),rp.forEach(o),ap.forEach(o),Vt.forEach(o),df=i(f),w=r(f,"TR",{});var qt=l(w);ll=r(qt,"TD",{align:!0});var op=l(ll);Xe=r(op,"A",{href:!0,rel:!0});var lp=l(Xe);uf=h(lp,"Train T5 on TPU"),lp.forEach(o),op.forEach(o),mf=i(qt),nl=r(qt,"TD",{align:!0});var np=l(nl);_f=h(np,"How to train T5 on SQUAD with Transformers and Nlp"),np.forEach(o),bf=i(qt),il=r(qt,"TD",{align:!0});var ip=l(il);Je=r(ip,"A",{href:!0,rel:!0});var sp=l(Je);vf=h(sp,"Suraj Patil"),sp.forEach(o),ip.forEach(o),pf=i(qt),sl=r(qt,"TD",{align:!0});var hp=l(sl);Ze=r(hp,"A",{href:!0,rel:!0});var cp=l(Ze);hl=r(cp,"IMG",{src:!0,alt:!0}),cp.forEach(o),hp.forEach(o),qt.forEach(o),Ef=i(f),D=r(f,"TR",{});var Qt=l(D);cl=r(Qt,"TD",{align:!0});var fp=l(cl);ta=r(fp,"A",{href:!0,rel:!0});var gp=l(ta);Tf=h(gp,"Fine-tune T5 for Classification and Multiple Choice"),gp.forEach(o),fp.forEach(o),wf=i(Qt),fl=r(Qt,"TD",{align:!0});var dp=l(fl);Df=h(dp,"How to fine-tune T5 for classification and multiple choice tasks using a text-to-text format with PyTorch Lightning"),dp.forEach(o),yf=i(Qt),gl=r(Qt,"TD",{align:!0});var up=l(gl);ea=r(up,"A",{href:!0,rel:!0});var mp=l(ea);Af=h(mp,"Suraj Patil"),mp.forEach(o),up.forEach(o),kf=i(Qt),dl=r(Qt,"TD",{align:!0});var _p=l(dl);aa=r(_p,"A",{href:!0,rel:!0});var bp=l(aa);ul=r(bp,"IMG",{src:!0,alt:!0}),bp.forEach(o),_p.forEach(o),Qt.forEach(o),Rf=i(f),y=r(f,"TR",{});var jt=l(y);ml=r(jt,"TD",{align:!0});var vp=l(ml);ra=r(vp,"A",{href:!0,rel:!0});var pp=l(ra);Cf=h(pp,"Fine-tune DialoGPT on New Datasets and Languages"),pp.forEach(o),vp.forEach(o),Ff=i(jt),_l=r(jt,"TD",{align:!0});var Ep=l(_l);Mf=h(Ep,"How to fine-tune the DialoGPT model on a new dataset for open-dialog conversational chatbots"),Ep.forEach(o),If=i(jt),bl=r(jt,"TD",{align:!0});var Tp=l(bl);oa=r(Tp,"A",{href:!0,rel:!0});var wp=l(oa);Pf=h(wp,"Nathan Cooper"),wp.forEach(o),Tp.forEach(o),Hf=i(jt),vl=r(jt,"TD",{align:!0});var Dp=l(vl);la=r(Dp,"A",{href:!0,rel:!0});var yp=l(la);pl=r(yp,"IMG",{src:!0,alt:!0}),yp.forEach(o),Dp.forEach(o),jt.forEach(o),Lf=i(f),A=r(f,"TR",{});var Wt=l(A);El=r(Wt,"TD",{align:!0});var Ap=l(El);na=r(Ap,"A",{href:!0,rel:!0});var kp=l(na);Bf=h(kp,"Long Sequence Modeling with Reformer"),kp.forEach(o),Ap.forEach(o),Sf=i(Wt),Tl=r(Wt,"TD",{align:!0});var Rp=l(Tl);Gf=h(Rp,"How to train on sequences as long as 500,000 tokens with Reformer"),Rp.forEach(o),Nf=i(Wt),wl=r(Wt,"TD",{align:!0});var Cp=l(wl);ia=r(Cp,"A",{href:!0,rel:!0});var Fp=l(ia);Of=h(Fp,"Patrick von Platen"),Fp.forEach(o),Cp.forEach(o),xf=i(Wt),Dl=r(Wt,"TD",{align:!0});var Mp=l(Dl);sa=r(Mp,"A",{href:!0,rel:!0});var Ip=l(sa);yl=r(Ip,"IMG",{src:!0,alt:!0}),Ip.forEach(o),Mp.forEach(o),Wt.forEach(o),zf=i(f),k=r(f,"TR",{});var Ut=l(k);Al=r(Ut,"TD",{align:!0});var Pp=l(Al);ha=r(Pp,"A",{href:!0,rel:!0});var Hp=l(ha);Vf=h(Hp,"Fine-tune BART for Summarization"),Hp.forEach(o),Pp.forEach(o),qf=i(Ut),kl=r(Ut,"TD",{align:!0});var Lp=l(kl);Qf=h(Lp,"How to fine-tune BART for summarization with fastai using blurr"),Lp.forEach(o),jf=i(Ut),Rl=r(Ut,"TD",{align:!0});var Bp=l(Rl);ca=r(Bp,"A",{href:!0,rel:!0});var Sp=l(ca);Wf=h(Sp,"Wayde Gilliam"),Sp.forEach(o),Bp.forEach(o),Uf=i(Ut),Cl=r(Ut,"TD",{align:!0});var Gp=l(Cl);fa=r(Gp,"A",{href:!0,rel:!0});var Np=l(fa);Fl=r(Np,"IMG",{src:!0,alt:!0}),Np.forEach(o),Gp.forEach(o),Ut.forEach(o),$f=i(f),R=r(f,"TR",{});var $t=l(R);Ml=r($t,"TD",{align:!0});var Op=l(Ml);ga=r(Op,"A",{href:!0,rel:!0});var xp=l(ga);Kf=h(xp,"Fine-tune a pre-trained Transformer on anyone\u2019s tweets"),xp.forEach(o),Op.forEach(o),Yf=i($t),Il=r($t,"TD",{align:!0});var zp=l(Il);Xf=h(zp,"How to generate tweets in the style of your favorite Twitter account by fine-tuning a GPT-2 model"),zp.forEach(o),Jf=i($t),Pl=r($t,"TD",{align:!0});var Vp=l(Pl);da=r(Vp,"A",{href:!0,rel:!0});var qp=l(da);Zf=h(qp,"Boris Dayma"),qp.forEach(o),Vp.forEach(o),tg=i($t),Hl=r($t,"TD",{align:!0});var Qp=l(Hl);ua=r(Qp,"A",{href:!0,rel:!0});var jp=l(ua);Ll=r(jp,"IMG",{src:!0,alt:!0}),jp.forEach(o),Qp.forEach(o),$t.forEach(o),eg=i(f),C=r(f,"TR",{});var Kt=l(C);Bl=r(Kt,"TD",{align:!0});var Wp=l(Bl);ma=r(Wp,"A",{href:!0,rel:!0});var Up=l(ma);ag=h(Up,"Optimize \u{1F917} Hugging Face models with Weights & Biases"),Up.forEach(o),Wp.forEach(o),rg=i(Kt),Sl=r(Kt,"TD",{align:!0});var $p=l(Sl);og=h($p,"A complete tutorial showcasing W&B integration with Hugging Face"),$p.forEach(o),lg=i(Kt),Gl=r(Kt,"TD",{align:!0});var Kp=l(Gl);_a=r(Kp,"A",{href:!0,rel:!0});var Yp=l(_a);ng=h(Yp,"Boris Dayma"),Yp.forEach(o),Kp.forEach(o),ig=i(Kt),Nl=r(Kt,"TD",{align:!0});var Xp=l(Nl);ba=r(Xp,"A",{href:!0,rel:!0});var Jp=l(ba);Ol=r(Jp,"IMG",{src:!0,alt:!0}),Jp.forEach(o),Xp.forEach(o),Kt.forEach(o),sg=i(f),F=r(f,"TR",{});var Yt=l(F);xl=r(Yt,"TD",{align:!0});var Zp=l(xl);va=r(Zp,"A",{href:!0,rel:!0});var tE=l(va);hg=h(tE,"Pretrain Longformer"),tE.forEach(o),Zp.forEach(o),cg=i(Yt),zl=r(Yt,"TD",{align:!0});var eE=l(zl);fg=h(eE,"How to build a \u201Clong\u201D version of existing pretrained models"),eE.forEach(o),gg=i(Yt),Vl=r(Yt,"TD",{align:!0});var aE=l(Vl);pa=r(aE,"A",{href:!0,rel:!0});var rE=l(pa);dg=h(rE,"Iz Beltagy"),rE.forEach(o),aE.forEach(o),ug=i(Yt),ql=r(Yt,"TD",{align:!0});var oE=l(ql);Ea=r(oE,"A",{href:!0,rel:!0});var lE=l(Ea);Ql=r(lE,"IMG",{src:!0,alt:!0}),lE.forEach(o),oE.forEach(o),Yt.forEach(o),mg=i(f),M=r(f,"TR",{});var Xt=l(M);jl=r(Xt,"TD",{align:!0});var nE=l(jl);Ta=r(nE,"A",{href:!0,rel:!0});var iE=l(Ta);_g=h(iE,"Fine-tune Longformer for QA"),iE.forEach(o),nE.forEach(o),bg=i(Xt),Wl=r(Xt,"TD",{align:!0});var sE=l(Wl);vg=h(sE,"How to fine-tune longformer model for QA task"),sE.forEach(o),pg=i(Xt),Ul=r(Xt,"TD",{align:!0});var hE=l(Ul);wa=r(hE,"A",{href:!0,rel:!0});var cE=l(wa);Eg=h(cE,"Suraj Patil"),cE.forEach(o),hE.forEach(o),Tg=i(Xt),$l=r(Xt,"TD",{align:!0});var fE=l($l);Da=r(fE,"A",{href:!0,rel:!0});var gE=l(Da);Kl=r(gE,"IMG",{src:!0,alt:!0}),gE.forEach(o),fE.forEach(o),Xt.forEach(o),wg=i(f),I=r(f,"TR",{});var Jt=l(I);Yl=r(Jt,"TD",{align:!0});var dE=l(Yl);ya=r(dE,"A",{href:!0,rel:!0});var uE=l(ya);Dg=h(uE,"Evaluate Model with \u{1F917}nlp"),uE.forEach(o),dE.forEach(o),yg=i(Jt),Aa=r(Jt,"TD",{align:!0});var d1=l(Aa);Ag=h(d1,"How to evaluate longformer on TriviaQA with "),Gh=r(d1,"CODE",{});var mE=l(Gh);kg=h(mE,"nlp"),mE.forEach(o),d1.forEach(o),Rg=i(Jt),Xl=r(Jt,"TD",{align:!0});var _E=l(Xl);ka=r(_E,"A",{href:!0,rel:!0});var bE=l(ka);Cg=h(bE,"Patrick von Platen"),bE.forEach(o),_E.forEach(o),Fg=i(Jt),Jl=r(Jt,"TD",{align:!0});var vE=l(Jl);Ra=r(vE,"A",{href:!0,rel:!0});var pE=l(Ra);Zl=r(pE,"IMG",{src:!0,alt:!0}),pE.forEach(o),vE.forEach(o),Jt.forEach(o),Mg=i(f),P=r(f,"TR",{});var Zt=l(P);tn=r(Zt,"TD",{align:!0});var EE=l(tn);Ca=r(EE,"A",{href:!0,rel:!0});var TE=l(Ca);Ig=h(TE,"Fine-tune T5 for Sentiment Span Extraction"),TE.forEach(o),EE.forEach(o),Pg=i(Zt),en=r(Zt,"TD",{align:!0});var wE=l(en);Hg=h(wE,"How to fine-tune T5 for sentiment span extraction using a text-to-text format with PyTorch Lightning"),wE.forEach(o),Lg=i(Zt),an=r(Zt,"TD",{align:!0});var DE=l(an);Fa=r(DE,"A",{href:!0,rel:!0});var yE=l(Fa);Bg=h(yE,"Lorenzo Ampil"),yE.forEach(o),DE.forEach(o),Sg=i(Zt),rn=r(Zt,"TD",{align:!0});var AE=l(rn);Ma=r(AE,"A",{href:!0,rel:!0});var kE=l(Ma);on=r(kE,"IMG",{src:!0,alt:!0}),kE.forEach(o),AE.forEach(o),Zt.forEach(o),Gg=i(f),H=r(f,"TR",{});var te=l(H);ln=r(te,"TD",{align:!0});var RE=l(ln);Ia=r(RE,"A",{href:!0,rel:!0});var CE=l(Ia);Ng=h(CE,"Fine-tune DistilBert for Multiclass Classification"),CE.forEach(o),RE.forEach(o),Og=i(te),nn=r(te,"TD",{align:!0});var FE=l(nn);xg=h(FE,"How to fine-tune DistilBert for multiclass classification with PyTorch"),FE.forEach(o),zg=i(te),sn=r(te,"TD",{align:!0});var ME=l(sn);Pa=r(ME,"A",{href:!0,rel:!0});var IE=l(Pa);Vg=h(IE,"Abhishek Kumar Mishra"),IE.forEach(o),ME.forEach(o),qg=i(te),hn=r(te,"TD",{align:!0});var PE=l(hn);Ha=r(PE,"A",{href:!0,rel:!0});var HE=l(Ha);cn=r(HE,"IMG",{src:!0,alt:!0}),HE.forEach(o),PE.forEach(o),te.forEach(o),Qg=i(f),L=r(f,"TR",{});var ee=l(L);fn=r(ee,"TD",{align:!0});var LE=l(fn);La=r(LE,"A",{href:!0,rel:!0});var BE=l(La);jg=h(BE,"Fine-tune BERT for Multi-label Classification"),BE.forEach(o),LE.forEach(o),Wg=i(ee),gn=r(ee,"TD",{align:!0});var SE=l(gn);Ug=h(SE,"How to fine-tune BERT for multi-label classification using PyTorch"),SE.forEach(o),$g=i(ee),dn=r(ee,"TD",{align:!0});var GE=l(dn);Ba=r(GE,"A",{href:!0,rel:!0});var NE=l(Ba);Kg=h(NE,"Abhishek Kumar Mishra"),NE.forEach(o),GE.forEach(o),Yg=i(ee),un=r(ee,"TD",{align:!0});var OE=l(un);Sa=r(OE,"A",{href:!0,rel:!0});var xE=l(Sa);mn=r(xE,"IMG",{src:!0,alt:!0}),xE.forEach(o),OE.forEach(o),ee.forEach(o),Xg=i(f),B=r(f,"TR",{});var ae=l(B);_n=r(ae,"TD",{align:!0});var zE=l(_n);Ga=r(zE,"A",{href:!0,rel:!0});var VE=l(Ga);Jg=h(VE,"Fine-tune T5 for Summarization"),VE.forEach(o),zE.forEach(o),Zg=i(ae),bn=r(ae,"TD",{align:!0});var qE=l(bn);td=h(qE,"How to fine-tune T5 for summarization in PyTorch and track experiments with WandB"),qE.forEach(o),ed=i(ae),vn=r(ae,"TD",{align:!0});var QE=l(vn);Na=r(QE,"A",{href:!0,rel:!0});var jE=l(Na);ad=h(jE,"Abhishek Kumar Mishra"),jE.forEach(o),QE.forEach(o),rd=i(ae),pn=r(ae,"TD",{align:!0});var WE=l(pn);Oa=r(WE,"A",{href:!0,rel:!0});var UE=l(Oa);En=r(UE,"IMG",{src:!0,alt:!0}),UE.forEach(o),WE.forEach(o),ae.forEach(o),od=i(f),S=r(f,"TR",{});var re=l(S);Tn=r(re,"TD",{align:!0});var $E=l(Tn);xa=r($E,"A",{href:!0,rel:!0});var KE=l(xa);ld=h(KE,"Speed up Fine-Tuning in Transformers with Dynamic Padding / Bucketing"),KE.forEach(o),$E.forEach(o),nd=i(re),wn=r(re,"TD",{align:!0});var YE=l(wn);id=h(YE,"How to speed up fine-tuning by a factor of 2 using dynamic padding / bucketing"),YE.forEach(o),sd=i(re),Dn=r(re,"TD",{align:!0});var XE=l(Dn);za=r(XE,"A",{href:!0,rel:!0});var JE=l(za);hd=h(JE,"Michael Benesty"),JE.forEach(o),XE.forEach(o),cd=i(re),yn=r(re,"TD",{align:!0});var ZE=l(yn);Va=r(ZE,"A",{href:!0,rel:!0});var tT=l(Va);An=r(tT,"IMG",{src:!0,alt:!0}),tT.forEach(o),ZE.forEach(o),re.forEach(o),fd=i(f),G=r(f,"TR",{});var oe=l(G);kn=r(oe,"TD",{align:!0});var eT=l(kn);qa=r(eT,"A",{href:!0,rel:!0});var aT=l(qa);gd=h(aT,"Pretrain Reformer for Masked Language Modeling"),aT.forEach(o),eT.forEach(o),dd=i(oe),Rn=r(oe,"TD",{align:!0});var rT=l(Rn);ud=h(rT,"How to train a Reformer model with bi-directional self-attention layers"),rT.forEach(o),md=i(oe),Cn=r(oe,"TD",{align:!0});var oT=l(Cn);Qa=r(oT,"A",{href:!0,rel:!0});var lT=l(Qa);_d=h(lT,"Patrick von Platen"),lT.forEach(o),oT.forEach(o),bd=i(oe),Fn=r(oe,"TD",{align:!0});var nT=l(Fn);ja=r(nT,"A",{href:!0,rel:!0});var iT=l(ja);Mn=r(iT,"IMG",{src:!0,alt:!0}),iT.forEach(o),nT.forEach(o),oe.forEach(o),vd=i(f),N=r(f,"TR",{});var le=l(N);In=r(le,"TD",{align:!0});var sT=l(In);Wa=r(sT,"A",{href:!0,rel:!0});var hT=l(Wa);pd=h(hT,"Expand and Fine Tune Sci-BERT"),hT.forEach(o),sT.forEach(o),Ed=i(le),Pn=r(le,"TD",{align:!0});var cT=l(Pn);Td=h(cT,"How to increase vocabulary of a pretrained SciBERT model from AllenAI on the CORD dataset and pipeline it."),cT.forEach(o),wd=i(le),Hn=r(le,"TD",{align:!0});var fT=l(Hn);Ua=r(fT,"A",{href:!0,rel:!0});var gT=l(Ua);Dd=h(gT,"Tanmay Thakur"),gT.forEach(o),fT.forEach(o),yd=i(le),Ln=r(le,"TD",{align:!0});var dT=l(Ln);$a=r(dT,"A",{href:!0,rel:!0});var uT=l($a);Bn=r(uT,"IMG",{src:!0,alt:!0}),uT.forEach(o),dT.forEach(o),le.forEach(o),Ad=i(f),O=r(f,"TR",{});var ne=l(O);Sn=r(ne,"TD",{align:!0});var mT=l(Sn);Ka=r(mT,"A",{href:!0,rel:!0});var _T=l(Ka);kd=h(_T,"Fine Tune BlenderBotSmall for Summarization using the Trainer API"),_T.forEach(o),mT.forEach(o),Rd=i(ne),Gn=r(ne,"TD",{align:!0});var bT=l(Gn);Cd=h(bT,"How to fine tune BlenderBotSmall for summarization on a custom dataset, using the Trainer API."),bT.forEach(o),Fd=i(ne),Nn=r(ne,"TD",{align:!0});var vT=l(Nn);Ya=r(vT,"A",{href:!0,rel:!0});var pT=l(Ya);Md=h(pT,"Tanmay Thakur"),pT.forEach(o),vT.forEach(o),Id=i(ne),On=r(ne,"TD",{align:!0});var ET=l(On);Xa=r(ET,"A",{href:!0,rel:!0});var TT=l(Xa);xn=r(TT,"IMG",{src:!0,alt:!0}),TT.forEach(o),ET.forEach(o),ne.forEach(o),Pd=i(f),x=r(f,"TR",{});var ie=l(x);zn=r(ie,"TD",{align:!0});var wT=l(zn);Ja=r(wT,"A",{href:!0,rel:!0});var DT=l(Ja);Hd=h(DT,"Fine-tune Electra and interpret with Integrated Gradients"),DT.forEach(o),wT.forEach(o),Ld=i(ie),Vn=r(ie,"TD",{align:!0});var yT=l(Vn);Bd=h(yT,"How to fine-tune Electra for sentiment analysis and interpret predictions with Captum Integrated Gradients"),yT.forEach(o),Sd=i(ie),qn=r(ie,"TD",{align:!0});var AT=l(qn);Za=r(AT,"A",{href:!0,rel:!0});var kT=l(Za);Gd=h(kT,"Eliza Szczechla"),kT.forEach(o),AT.forEach(o),Nd=i(ie),Qn=r(ie,"TD",{align:!0});var RT=l(Qn);tr=r(RT,"A",{href:!0,rel:!0});var CT=l(tr);jn=r(CT,"IMG",{src:!0,alt:!0}),CT.forEach(o),RT.forEach(o),ie.forEach(o),Od=i(f),z=r(f,"TR",{});var se=l(z);Wn=r(se,"TD",{align:!0});var FT=l(Wn);er=r(FT,"A",{href:!0,rel:!0});var MT=l(er);xd=h(MT,"fine-tune a non-English GPT-2 Model with Trainer class"),MT.forEach(o),FT.forEach(o),zd=i(se),Un=r(se,"TD",{align:!0});var IT=l(Un);Vd=h(IT,"How to fine-tune a non-English GPT-2 Model with Trainer class"),IT.forEach(o),qd=i(se),$n=r(se,"TD",{align:!0});var PT=l($n);ar=r(PT,"A",{href:!0,rel:!0});var HT=l(ar);Qd=h(HT,"Philipp Schmid"),HT.forEach(o),PT.forEach(o),jd=i(se),Kn=r(se,"TD",{align:!0});var LT=l(Kn);rr=r(LT,"A",{href:!0,rel:!0});var BT=l(rr);Yn=r(BT,"IMG",{src:!0,alt:!0}),BT.forEach(o),LT.forEach(o),se.forEach(o),Wd=i(f),V=r(f,"TR",{});var he=l(V);Xn=r(he,"TD",{align:!0});var ST=l(Xn);or=r(ST,"A",{href:!0,rel:!0});var GT=l(or);Ud=h(GT,"Fine-tune a DistilBERT Model for Multi Label Classification task"),GT.forEach(o),ST.forEach(o),$d=i(he),Jn=r(he,"TD",{align:!0});var NT=l(Jn);Kd=h(NT,"How to fine-tune a DistilBERT Model for Multi Label Classification task"),NT.forEach(o),Yd=i(he),Zn=r(he,"TD",{align:!0});var OT=l(Zn);lr=r(OT,"A",{href:!0,rel:!0});var xT=l(lr);Xd=h(xT,"Dhaval Taunk"),xT.forEach(o),OT.forEach(o),Jd=i(he),ti=r(he,"TD",{align:!0});var zT=l(ti);nr=r(zT,"A",{href:!0,rel:!0});var VT=l(nr);ei=r(VT,"IMG",{src:!0,alt:!0}),VT.forEach(o),zT.forEach(o),he.forEach(o),Zd=i(f),q=r(f,"TR",{});var ce=l(q);ai=r(ce,"TD",{align:!0});var qT=l(ai);ir=r(qT,"A",{href:!0,rel:!0});var QT=l(ir);tu=h(QT,"Fine-tune ALBERT for sentence-pair classification"),QT.forEach(o),qT.forEach(o),eu=i(ce),ri=r(ce,"TD",{align:!0});var jT=l(ri);au=h(jT,"How to fine-tune an ALBERT model or another BERT-based model for the sentence-pair classification task"),jT.forEach(o),ru=i(ce),oi=r(ce,"TD",{align:!0});var WT=l(oi);sr=r(WT,"A",{href:!0,rel:!0});var UT=l(sr);ou=h(UT,"Nadir El Manouzi"),UT.forEach(o),WT.forEach(o),lu=i(ce),li=r(ce,"TD",{align:!0});var $T=l(li);hr=r($T,"A",{href:!0,rel:!0});var KT=l(hr);ni=r(KT,"IMG",{src:!0,alt:!0}),KT.forEach(o),$T.forEach(o),ce.forEach(o),nu=i(f),Q=r(f,"TR",{});var fe=l(Q);ii=r(fe,"TD",{align:!0});var YT=l(ii);cr=r(YT,"A",{href:!0,rel:!0});var XT=l(cr);iu=h(XT,"Fine-tune Roberta for sentiment analysis"),XT.forEach(o),YT.forEach(o),su=i(fe),si=r(fe,"TD",{align:!0});var JT=l(si);hu=h(JT,"How to fine-tune a Roberta model for sentiment analysis"),JT.forEach(o),cu=i(fe),hi=r(fe,"TD",{align:!0});var ZT=l(hi);fr=r(ZT,"A",{href:!0,rel:!0});var t2=l(fr);fu=h(t2,"Dhaval Taunk"),t2.forEach(o),ZT.forEach(o),gu=i(fe),ci=r(fe,"TD",{align:!0});var e2=l(ci);gr=r(e2,"A",{href:!0,rel:!0});var a2=l(gr);fi=r(a2,"IMG",{src:!0,alt:!0}),a2.forEach(o),e2.forEach(o),fe.forEach(o),du=i(f),j=r(f,"TR",{});var ge=l(j);gi=r(ge,"TD",{align:!0});var r2=l(gi);dr=r(r2,"A",{href:!0,rel:!0});var o2=l(dr);uu=h(o2,"Evaluating Question Generation Models"),o2.forEach(o),r2.forEach(o),mu=i(ge),di=r(ge,"TD",{align:!0});var l2=l(di);_u=h(l2,"How accurate are the answers to questions generated by your seq2seq transformer model?"),l2.forEach(o),bu=i(ge),ui=r(ge,"TD",{align:!0});var n2=l(ui);ur=r(n2,"A",{href:!0,rel:!0});var i2=l(ur);vu=h(i2,"Pascal Zoleko"),i2.forEach(o),n2.forEach(o),pu=i(ge),mi=r(ge,"TD",{align:!0});var s2=l(mi);mr=r(s2,"A",{href:!0,rel:!0});var h2=l(mr);_i=r(h2,"IMG",{src:!0,alt:!0}),h2.forEach(o),s2.forEach(o),ge.forEach(o),Eu=i(f),W=r(f,"TR",{});var de=l(W);bi=r(de,"TD",{align:!0});var c2=l(bi);_r=r(c2,"A",{href:!0,rel:!0});var f2=l(_r);Tu=h(f2,"Classify text with DistilBERT and Tensorflow"),f2.forEach(o),c2.forEach(o),wu=i(de),vi=r(de,"TD",{align:!0});var g2=l(vi);Du=h(g2,"How to fine-tune DistilBERT for text classification in TensorFlow"),g2.forEach(o),yu=i(de),pi=r(de,"TD",{align:!0});var d2=l(pi);br=r(d2,"A",{href:!0,rel:!0});var u2=l(br);Au=h(u2,"Peter Bayerle"),u2.forEach(o),d2.forEach(o),ku=i(de),Ei=r(de,"TD",{align:!0});var m2=l(Ei);vr=r(m2,"A",{href:!0,rel:!0});var _2=l(vr);Ti=r(_2,"IMG",{src:!0,alt:!0}),_2.forEach(o),m2.forEach(o),de.forEach(o),Ru=i(f),U=r(f,"TR",{});var ue=l(U);wi=r(ue,"TD",{align:!0});var b2=l(wi);pr=r(b2,"A",{href:!0,rel:!0});var v2=l(pr);Cu=h(v2,"Leverage BERT for Encoder-Decoder Summarization on CNN/Dailymail"),v2.forEach(o),b2.forEach(o),Fu=i(ue),vt=r(ue,"TD",{align:!0});var Dh=l(vt);Mu=h(Dh,"How to warm-start a "),Nh=r(Dh,"EM",{});var p2=l(Nh);Iu=h(p2,"EncoderDecoderModel"),p2.forEach(o),Pu=h(Dh," with a "),Oh=r(Dh,"EM",{});var E2=l(Oh);Hu=h(E2,"bert-base-uncased"),E2.forEach(o),Lu=h(Dh," checkpoint for summarization on CNN/Dailymail"),Dh.forEach(o),Bu=i(ue),Di=r(ue,"TD",{align:!0});var T2=l(Di);Er=r(T2,"A",{href:!0,rel:!0});var w2=l(Er);Su=h(w2,"Patrick von Platen"),w2.forEach(o),T2.forEach(o),Gu=i(ue),yi=r(ue,"TD",{align:!0});var D2=l(yi);Tr=r(D2,"A",{href:!0,rel:!0});var y2=l(Tr);Ai=r(y2,"IMG",{src:!0,alt:!0}),y2.forEach(o),D2.forEach(o),ue.forEach(o),Nu=i(f),$=r(f,"TR",{});var me=l($);ki=r(me,"TD",{align:!0});var A2=l(ki);wr=r(A2,"A",{href:!0,rel:!0});var k2=l(wr);Ou=h(k2,"Leverage RoBERTa for Encoder-Decoder Summarization on BBC XSum"),k2.forEach(o),A2.forEach(o),xu=i(me),pt=r(me,"TD",{align:!0});var yh=l(pt);zu=h(yh,"How to warm-start a shared "),xh=r(yh,"EM",{});var R2=l(xh);Vu=h(R2,"EncoderDecoderModel"),R2.forEach(o),qu=h(yh," with a "),zh=r(yh,"EM",{});var C2=l(zh);Qu=h(C2,"roberta-base"),C2.forEach(o),ju=h(yh," checkpoint for summarization on BBC/XSum"),yh.forEach(o),Wu=i(me),Ri=r(me,"TD",{align:!0});var F2=l(Ri);Dr=r(F2,"A",{href:!0,rel:!0});var M2=l(Dr);Uu=h(M2,"Patrick von Platen"),M2.forEach(o),F2.forEach(o),$u=i(me),Ci=r(me,"TD",{align:!0});var I2=l(Ci);yr=r(I2,"A",{href:!0,rel:!0});var P2=l(yr);Fi=r(P2,"IMG",{src:!0,alt:!0}),P2.forEach(o),I2.forEach(o),me.forEach(o),Ku=i(f),K=r(f,"TR",{});var _e=l(K);Mi=r(_e,"TD",{align:!0});var H2=l(Mi);Ar=r(H2,"A",{href:!0,rel:!0});var L2=l(Ar);Yu=h(L2,"Fine-tune TAPAS on Sequential Question Answering (SQA)"),L2.forEach(o),H2.forEach(o),Xu=i(_e),Et=r(_e,"TD",{align:!0});var Ah=l(Et);Ju=h(Ah,"How to fine-tune "),Vh=r(Ah,"EM",{});var B2=l(Vh);Zu=h(B2,"TapasForQuestionAnswering"),B2.forEach(o),tm=h(Ah," with a "),qh=r(Ah,"EM",{});var S2=l(qh);em=h(S2,"tapas-base"),S2.forEach(o),am=h(Ah," checkpoint on the Sequential Question Answering (SQA) dataset"),Ah.forEach(o),rm=i(_e),Ii=r(_e,"TD",{align:!0});var G2=l(Ii);kr=r(G2,"A",{href:!0,rel:!0});var N2=l(kr);om=h(N2,"Niels Rogge"),N2.forEach(o),G2.forEach(o),lm=i(_e),Pi=r(_e,"TD",{align:!0});var O2=l(Pi);Rr=r(O2,"A",{href:!0,rel:!0});var x2=l(Rr);Hi=r(x2,"IMG",{src:!0,alt:!0}),x2.forEach(o),O2.forEach(o),_e.forEach(o),nm=i(f),Y=r(f,"TR",{});var be=l(Y);Li=r(be,"TD",{align:!0});var z2=l(Li);Cr=r(z2,"A",{href:!0,rel:!0});var V2=l(Cr);im=h(V2,"Evaluate TAPAS on Table Fact Checking (TabFact)"),V2.forEach(o),z2.forEach(o),sm=i(be),Tt=r(be,"TD",{align:!0});var kh=l(Tt);hm=h(kh,"How to evaluate a fine-tuned "),Qh=r(kh,"EM",{});var q2=l(Qh);cm=h(q2,"TapasForSequenceClassification"),q2.forEach(o),fm=h(kh," with a "),jh=r(kh,"EM",{});var Q2=l(jh);gm=h(Q2,"tapas-base-finetuned-tabfact"),Q2.forEach(o),dm=h(kh," checkpoint using a combination of the \u{1F917} datasets and \u{1F917} transformers libraries"),kh.forEach(o),um=i(be),Bi=r(be,"TD",{align:!0});var j2=l(Bi);Fr=r(j2,"A",{href:!0,rel:!0});var W2=l(Fr);mm=h(W2,"Niels Rogge"),W2.forEach(o),j2.forEach(o),_m=i(be),Si=r(be,"TD",{align:!0});var U2=l(Si);Mr=r(U2,"A",{href:!0,rel:!0});var $2=l(Mr);Gi=r($2,"IMG",{src:!0,alt:!0}),$2.forEach(o),U2.forEach(o),be.forEach(o),bm=i(f),X=r(f,"TR",{});var ve=l(X);Ni=r(ve,"TD",{align:!0});var K2=l(Ni);Ir=r(K2,"A",{href:!0,rel:!0});var Y2=l(Ir);vm=h(Y2,"Fine-tuning mBART for translation"),Y2.forEach(o),K2.forEach(o),pm=i(ve),Oi=r(ve,"TD",{align:!0});var X2=l(Oi);Em=h(X2,"How to fine-tune mBART using Seq2SeqTrainer for Hindi to English translation"),X2.forEach(o),Tm=i(ve),xi=r(ve,"TD",{align:!0});var J2=l(xi);Pr=r(J2,"A",{href:!0,rel:!0});var Z2=l(Pr);wm=h(Z2,"Vasudev Gupta"),Z2.forEach(o),J2.forEach(o),Dm=i(ve),zi=r(ve,"TD",{align:!0});var tw=l(zi);Hr=r(tw,"A",{href:!0,rel:!0});var ew=l(Hr);Vi=r(ew,"IMG",{src:!0,alt:!0}),ew.forEach(o),tw.forEach(o),ve.forEach(o),ym=i(f),J=r(f,"TR",{});var pe=l(J);qi=r(pe,"TD",{align:!0});var aw=l(qi);Lr=r(aw,"A",{href:!0,rel:!0});var rw=l(Lr);Am=h(rw,"Fine-tune LayoutLM on FUNSD (a form understanding dataset)"),rw.forEach(o),aw.forEach(o),km=i(pe),Mt=r(pe,"TD",{align:!0});var gc=l(Mt);Rm=h(gc,"How to fine-tune "),Wh=r(gc,"EM",{});var ow=l(Wh);Cm=h(ow,"LayoutLMForTokenClassification"),ow.forEach(o),Fm=h(gc," on the FUNSD dataset for information extraction from scanned documents"),gc.forEach(o),Mm=i(pe),Qi=r(pe,"TD",{align:!0});var lw=l(Qi);Br=r(lw,"A",{href:!0,rel:!0});var nw=l(Br);Im=h(nw,"Niels Rogge"),nw.forEach(o),lw.forEach(o),Pm=i(pe),ji=r(pe,"TD",{align:!0});var iw=l(ji);Sr=r(iw,"A",{href:!0,rel:!0});var sw=l(Sr);Wi=r(sw,"IMG",{src:!0,alt:!0}),sw.forEach(o),iw.forEach(o),pe.forEach(o),Hm=i(f),Z=r(f,"TR",{});var Ee=l(Z);Ui=r(Ee,"TD",{align:!0});var hw=l(Ui);Gr=r(hw,"A",{href:!0,rel:!0});var cw=l(Gr);Lm=h(cw,"Fine-Tune DistilGPT2 and Generate Text"),cw.forEach(o),hw.forEach(o),Bm=i(Ee),$i=r(Ee,"TD",{align:!0});var fw=l($i);Sm=h(fw,"How to fine-tune DistilGPT2 and generate text"),fw.forEach(o),Gm=i(Ee),Ki=r(Ee,"TD",{align:!0});var gw=l(Ki);Nr=r(gw,"A",{href:!0,rel:!0});var dw=l(Nr);Nm=h(dw,"Aakash Tripathi"),dw.forEach(o),gw.forEach(o),Om=i(Ee),Yi=r(Ee,"TD",{align:!0});var uw=l(Yi);Or=r(uw,"A",{href:!0,rel:!0});var mw=l(Or);Xi=r(mw,"IMG",{src:!0,alt:!0}),mw.forEach(o),uw.forEach(o),Ee.forEach(o),xm=i(f),tt=r(f,"TR",{});var Te=l(tt);Ji=r(Te,"TD",{align:!0});var _w=l(Ji);xr=r(_w,"A",{href:!0,rel:!0});var bw=l(xr);zm=h(bw,"Fine-Tune LED on up to 8K tokens"),bw.forEach(o),_w.forEach(o),Vm=i(Te),Zi=r(Te,"TD",{align:!0});var vw=l(Zi);qm=h(vw,"How to fine-tune LED on pubmed for long-range summarization"),vw.forEach(o),Qm=i(Te),ts=r(Te,"TD",{align:!0});var pw=l(ts);zr=r(pw,"A",{href:!0,rel:!0});var Ew=l(zr);jm=h(Ew,"Patrick von Platen"),Ew.forEach(o),pw.forEach(o),Wm=i(Te),es=r(Te,"TD",{align:!0});var Tw=l(es);Vr=r(Tw,"A",{href:!0,rel:!0});var ww=l(Vr);as=r(ww,"IMG",{src:!0,alt:!0}),ww.forEach(o),Tw.forEach(o),Te.forEach(o),Um=i(f),et=r(f,"TR",{});var we=l(et);rs=r(we,"TD",{align:!0});var Dw=l(rs);qr=r(Dw,"A",{href:!0,rel:!0});var yw=l(qr);$m=h(yw,"Evaluate LED on Arxiv"),yw.forEach(o),Dw.forEach(o),Km=i(we),os=r(we,"TD",{align:!0});var Aw=l(os);Ym=h(Aw,"How to effectively evaluate LED on long-range summarization"),Aw.forEach(o),Xm=i(we),ls=r(we,"TD",{align:!0});var kw=l(ls);Qr=r(kw,"A",{href:!0,rel:!0});var Rw=l(Qr);Jm=h(Rw,"Patrick von Platen"),Rw.forEach(o),kw.forEach(o),Zm=i(we),ns=r(we,"TD",{align:!0});var Cw=l(ns);jr=r(Cw,"A",{href:!0,rel:!0});var Fw=l(jr);is=r(Fw,"IMG",{src:!0,alt:!0}),Fw.forEach(o),Cw.forEach(o),we.forEach(o),t_=i(f),at=r(f,"TR",{});var De=l(at);ss=r(De,"TD",{align:!0});var Mw=l(ss);Wr=r(Mw,"A",{href:!0,rel:!0});var Iw=l(Wr);e_=h(Iw,"Fine-tune LayoutLM on RVL-CDIP (a document image classification dataset)"),Iw.forEach(o),Mw.forEach(o),a_=i(De),It=r(De,"TD",{align:!0});var dc=l(It);r_=h(dc,"How to fine-tune "),Uh=r(dc,"EM",{});var Pw=l(Uh);o_=h(Pw,"LayoutLMForSequenceClassification"),Pw.forEach(o),l_=h(dc," on the RVL-CDIP dataset for scanned document classification"),dc.forEach(o),n_=i(De),hs=r(De,"TD",{align:!0});var Hw=l(hs);Ur=r(Hw,"A",{href:!0,rel:!0});var Lw=l(Ur);i_=h(Lw,"Niels Rogge"),Lw.forEach(o),Hw.forEach(o),s_=i(De),cs=r(De,"TD",{align:!0});var Bw=l(cs);$r=r(Bw,"A",{href:!0,rel:!0});var Sw=l($r);fs=r(Sw,"IMG",{src:!0,alt:!0}),Sw.forEach(o),Bw.forEach(o),De.forEach(o),h_=i(f),rt=r(f,"TR",{});var ye=l(rt);gs=r(ye,"TD",{align:!0});var Gw=l(gs);Kr=r(Gw,"A",{href:!0,rel:!0});var Nw=l(Kr);c_=h(Nw,"Wav2Vec2 CTC decoding with GPT2 adjustment"),Nw.forEach(o),Gw.forEach(o),f_=i(ye),ds=r(ye,"TD",{align:!0});var Ow=l(ds);g_=h(Ow,"How to decode CTC sequence with language model adjustment"),Ow.forEach(o),d_=i(ye),us=r(ye,"TD",{align:!0});var xw=l(us);Yr=r(xw,"A",{href:!0,rel:!0});var zw=l(Yr);u_=h(zw,"Eric Lam"),zw.forEach(o),xw.forEach(o),m_=i(ye),ms=r(ye,"TD",{align:!0});var Vw=l(ms);Xr=r(Vw,"A",{href:!0,rel:!0});var qw=l(Xr);_s=r(qw,"IMG",{src:!0,alt:!0}),qw.forEach(o),Vw.forEach(o),ye.forEach(o),__=i(f),ot=r(f,"TR",{});var Ae=l(ot);bs=r(Ae,"TD",{align:!0});var Qw=l(bs);Jr=r(Qw,"A",{href:!0,rel:!0});var jw=l(Jr);b_=h(jw,"Fine-tune BART for summarization in two languages with Trainer class"),jw.forEach(o),Qw.forEach(o),v_=i(Ae),vs=r(Ae,"TD",{align:!0});var Ww=l(vs);p_=h(Ww,"How to fine-tune BART for summarization in two languages with Trainer class"),Ww.forEach(o),E_=i(Ae),ps=r(Ae,"TD",{align:!0});var Uw=l(ps);Zr=r(Uw,"A",{href:!0,rel:!0});var $w=l(Zr);T_=h($w,"Eliza Szczechla"),$w.forEach(o),Uw.forEach(o),w_=i(Ae),Es=r(Ae,"TD",{align:!0});var Kw=l(Es);to=r(Kw,"A",{href:!0,rel:!0});var Yw=l(to);Ts=r(Yw,"IMG",{src:!0,alt:!0}),Yw.forEach(o),Kw.forEach(o),Ae.forEach(o),D_=i(f),lt=r(f,"TR",{});var ke=l(lt);ws=r(ke,"TD",{align:!0});var Xw=l(ws);eo=r(Xw,"A",{href:!0,rel:!0});var Jw=l(eo);y_=h(Jw,"Evaluate Big Bird on Trivia QA"),Jw.forEach(o),Xw.forEach(o),A_=i(ke),Ds=r(ke,"TD",{align:!0});var Zw=l(Ds);k_=h(Zw,"How to evaluate BigBird on long document question answering on Trivia QA"),Zw.forEach(o),R_=i(ke),ys=r(ke,"TD",{align:!0});var t3=l(ys);ao=r(t3,"A",{href:!0,rel:!0});var e3=l(ao);C_=h(e3,"Patrick von Platen"),e3.forEach(o),t3.forEach(o),F_=i(ke),As=r(ke,"TD",{align:!0});var a3=l(As);ro=r(a3,"A",{href:!0,rel:!0});var r3=l(ro);ks=r(r3,"IMG",{src:!0,alt:!0}),r3.forEach(o),a3.forEach(o),ke.forEach(o),M_=i(f),nt=r(f,"TR",{});var Re=l(nt);Rs=r(Re,"TD",{align:!0});var o3=l(Rs);oo=r(o3,"A",{href:!0,rel:!0});var l3=l(oo);I_=h(l3,"Create video captions using Wav2Vec2"),l3.forEach(o),o3.forEach(o),P_=i(Re),Cs=r(Re,"TD",{align:!0});var n3=l(Cs);H_=h(n3,"How to create YouTube captions from any video by transcribing the audio with Wav2Vec"),n3.forEach(o),L_=i(Re),Fs=r(Re,"TD",{align:!0});var i3=l(Fs);lo=r(i3,"A",{href:!0,rel:!0});var s3=l(lo);B_=h(s3,"Niklas Muennighoff"),s3.forEach(o),i3.forEach(o),S_=i(Re),Ms=r(Re,"TD",{align:!0});var h3=l(Ms);no=r(h3,"A",{href:!0,rel:!0});var c3=l(no);Is=r(c3,"IMG",{src:!0,alt:!0}),c3.forEach(o),h3.forEach(o),Re.forEach(o),G_=i(f),it=r(f,"TR",{});var Ce=l(it);Ps=r(Ce,"TD",{align:!0});var f3=l(Ps);io=r(f3,"A",{href:!0,rel:!0});var g3=l(io);N_=h(g3,"Fine-tune the Vision Transformer on CIFAR-10 using PyTorch Lightning"),g3.forEach(o),f3.forEach(o),O_=i(Ce),Hs=r(Ce,"TD",{align:!0});var d3=l(Hs);x_=h(d3,"How to fine-tune the Vision Transformer (ViT) on CIFAR-10 using HuggingFace Transformers, Datasets and PyTorch Lightning"),d3.forEach(o),z_=i(Ce),Ls=r(Ce,"TD",{align:!0});var u3=l(Ls);so=r(u3,"A",{href:!0,rel:!0});var m3=l(so);V_=h(m3,"Niels Rogge"),m3.forEach(o),u3.forEach(o),q_=i(Ce),Bs=r(Ce,"TD",{align:!0});var _3=l(Bs);ho=r(_3,"A",{href:!0,rel:!0});var b3=l(ho);Ss=r(b3,"IMG",{src:!0,alt:!0}),b3.forEach(o),_3.forEach(o),Ce.forEach(o),Q_=i(f),st=r(f,"TR",{});var Fe=l(st);Gs=r(Fe,"TD",{align:!0});var v3=l(Gs);co=r(v3,"A",{href:!0,rel:!0});var p3=l(co);j_=h(p3,"Fine-tune the Vision Transformer on CIFAR-10 using the \u{1F917} Trainer"),p3.forEach(o),v3.forEach(o),W_=i(Fe),Ns=r(Fe,"TD",{align:!0});var E3=l(Ns);U_=h(E3,"How to fine-tune the Vision Transformer (ViT) on CIFAR-10 using HuggingFace Transformers, Datasets and the \u{1F917} Trainer"),E3.forEach(o),$_=i(Fe),Os=r(Fe,"TD",{align:!0});var T3=l(Os);fo=r(T3,"A",{href:!0,rel:!0});var w3=l(fo);K_=h(w3,"Niels Rogge"),w3.forEach(o),T3.forEach(o),Y_=i(Fe),xs=r(Fe,"TD",{align:!0});var D3=l(xs);go=r(D3,"A",{href:!0,rel:!0});var y3=l(go);zs=r(y3,"IMG",{src:!0,alt:!0}),y3.forEach(o),D3.forEach(o),Fe.forEach(o),X_=i(f),ht=r(f,"TR",{});var Me=l(ht);Vs=r(Me,"TD",{align:!0});var A3=l(Vs);uo=r(A3,"A",{href:!0,rel:!0});var k3=l(uo);J_=h(k3,"Evaluate LUKE on Open Entity, an entity typing dataset"),k3.forEach(o),A3.forEach(o),Z_=i(Me),Pt=r(Me,"TD",{align:!0});var uc=l(Pt);tb=h(uc,"How to evaluate "),$h=r(uc,"EM",{});var R3=l($h);eb=h(R3,"LukeForEntityClassification"),R3.forEach(o),ab=h(uc," on the Open Entity dataset"),uc.forEach(o),rb=i(Me),qs=r(Me,"TD",{align:!0});var C3=l(qs);mo=r(C3,"A",{href:!0,rel:!0});var F3=l(mo);ob=h(F3,"Ikuya Yamada"),F3.forEach(o),C3.forEach(o),lb=i(Me),Qs=r(Me,"TD",{align:!0});var M3=l(Qs);_o=r(M3,"A",{href:!0,rel:!0});var I3=l(_o);js=r(I3,"IMG",{src:!0,alt:!0}),I3.forEach(o),M3.forEach(o),Me.forEach(o),nb=i(f),ct=r(f,"TR",{});var Ie=l(ct);Ws=r(Ie,"TD",{align:!0});var P3=l(Ws);bo=r(P3,"A",{href:!0,rel:!0});var H3=l(bo);ib=h(H3,"Evaluate LUKE on TACRED, a relation extraction dataset"),H3.forEach(o),P3.forEach(o),sb=i(Ie),Ht=r(Ie,"TD",{align:!0});var mc=l(Ht);hb=h(mc,"How to evaluate "),Kh=r(mc,"EM",{});var L3=l(Kh);cb=h(L3,"LukeForEntityPairClassification"),L3.forEach(o),fb=h(mc," on the TACRED dataset"),mc.forEach(o),gb=i(Ie),Us=r(Ie,"TD",{align:!0});var B3=l(Us);vo=r(B3,"A",{href:!0,rel:!0});var S3=l(vo);db=h(S3,"Ikuya Yamada"),S3.forEach(o),B3.forEach(o),ub=i(Ie),$s=r(Ie,"TD",{align:!0});var G3=l($s);po=r(G3,"A",{href:!0,rel:!0});var N3=l(po);Ks=r(N3,"IMG",{src:!0,alt:!0}),N3.forEach(o),G3.forEach(o),Ie.forEach(o),mb=i(f),ft=r(f,"TR",{});var Pe=l(ft);Ys=r(Pe,"TD",{align:!0});var O3=l(Ys);Eo=r(O3,"A",{href:!0,rel:!0});var x3=l(Eo);_b=h(x3,"Evaluate LUKE on CoNLL-2003, an important NER benchmark"),x3.forEach(o),O3.forEach(o),bb=i(Pe),Lt=r(Pe,"TD",{align:!0});var _c=l(Lt);vb=h(_c,"How to evaluate "),Yh=r(_c,"EM",{});var z3=l(Yh);pb=h(z3,"LukeForEntitySpanClassification"),z3.forEach(o),Eb=h(_c," on the CoNLL-2003 dataset"),_c.forEach(o),Tb=i(Pe),Xs=r(Pe,"TD",{align:!0});var V3=l(Xs);To=r(V3,"A",{href:!0,rel:!0});var q3=l(To);wb=h(q3,"Ikuya Yamada"),q3.forEach(o),V3.forEach(o),Db=i(Pe),Js=r(Pe,"TD",{align:!0});var Q3=l(Js);wo=r(Q3,"A",{href:!0,rel:!0});var j3=l(wo);Zs=r(j3,"IMG",{src:!0,alt:!0}),j3.forEach(o),Q3.forEach(o),Pe.forEach(o),yb=i(f),gt=r(f,"TR",{});var He=l(gt);th=r(He,"TD",{align:!0});var W3=l(th);Do=r(W3,"A",{href:!0,rel:!0});var U3=l(Do);Ab=h(U3,"Evaluate BigBird-Pegasus on PubMed dataset"),U3.forEach(o),W3.forEach(o),kb=i(He),Bt=r(He,"TD",{align:!0});var bc=l(Bt);Rb=h(bc,"How to evaluate "),Xh=r(bc,"EM",{});var $3=l(Xh);Cb=h($3,"BigBirdPegasusForConditionalGeneration"),$3.forEach(o),Fb=h(bc," on PubMed dataset"),bc.forEach(o),Mb=i(He),eh=r(He,"TD",{align:!0});var K3=l(eh);yo=r(K3,"A",{href:!0,rel:!0});var Y3=l(yo);Ib=h(Y3,"Vasudev Gupta"),Y3.forEach(o),K3.forEach(o),Pb=i(He),ah=r(He,"TD",{align:!0});var X3=l(ah);Ao=r(X3,"A",{href:!0,rel:!0});var J3=l(Ao);rh=r(J3,"IMG",{src:!0,alt:!0}),J3.forEach(o),X3.forEach(o),He.forEach(o),Hb=i(f),dt=r(f,"TR",{});var Le=l(dt);oh=r(Le,"TD",{align:!0});var Z3=l(oh);ko=r(Z3,"A",{href:!0,rel:!0});var tD=l(ko);Lb=h(tD,"Speech Emotion Classification with Wav2Vec2"),tD.forEach(o),Z3.forEach(o),Bb=i(Le),lh=r(Le,"TD",{align:!0});var eD=l(lh);Sb=h(eD,"How to leverage a pretrained Wav2Vec2 model for Emotion Classification on the MEGA dataset"),eD.forEach(o),Gb=i(Le),nh=r(Le,"TD",{align:!0});var aD=l(nh);Ro=r(aD,"A",{href:!0,rel:!0});var rD=l(Ro);Nb=h(rD,"Mehrdad Farahani"),rD.forEach(o),aD.forEach(o),Ob=i(Le),ih=r(Le,"TD",{align:!0});var oD=l(ih);Co=r(oD,"A",{href:!0,rel:!0});var lD=l(Co);sh=r(lD,"IMG",{src:!0,alt:!0}),lD.forEach(o),oD.forEach(o),Le.forEach(o),xb=i(f),ut=r(f,"TR",{});var Be=l(ut);hh=r(Be,"TD",{align:!0});var nD=l(hh);Fo=r(nD,"A",{href:!0,rel:!0});var iD=l(Fo);zb=h(iD,"Detect objects in an image with DETR"),iD.forEach(o),nD.forEach(o),Vb=i(Be),St=r(Be,"TD",{align:!0});var vc=l(St);qb=h(vc,"How to use a trained "),Jh=r(vc,"EM",{});var sD=l(Jh);Qb=h(sD,"DetrForObjectDetection"),sD.forEach(o),jb=h(vc," model to detect objects in an image and visualize attention"),vc.forEach(o),Wb=i(Be),ch=r(Be,"TD",{align:!0});var hD=l(ch);Mo=r(hD,"A",{href:!0,rel:!0});var cD=l(Mo);Ub=h(cD,"Niels Rogge"),cD.forEach(o),hD.forEach(o),$b=i(Be),fh=r(Be,"TD",{align:!0});var fD=l(fh);Io=r(fD,"A",{href:!0,rel:!0});var gD=l(Io);gh=r(gD,"IMG",{src:!0,alt:!0}),gD.forEach(o),fD.forEach(o),Be.forEach(o),Kb=i(f),mt=r(f,"TR",{});var Se=l(mt);dh=r(Se,"TD",{align:!0});var dD=l(dh);Po=r(dD,"A",{href:!0,rel:!0});var uD=l(Po);Yb=h(uD,"Fine-tune DETR on a custom object detection dataset"),uD.forEach(o),dD.forEach(o),Xb=i(Se),Gt=r(Se,"TD",{align:!0});var pc=l(Gt);Jb=h(pc,"How to fine-tune "),Zh=r(pc,"EM",{});var mD=l(Zh);Zb=h(mD,"DetrForObjectDetection"),mD.forEach(o),t1=h(pc," on a custom object detection dataset"),pc.forEach(o),e1=i(Se),uh=r(Se,"TD",{align:!0});var _D=l(uh);Ho=r(_D,"A",{href:!0,rel:!0});var bD=l(Ho);a1=h(bD,"Niels Rogge"),bD.forEach(o),_D.forEach(o),r1=i(Se),mh=r(Se,"TD",{align:!0});var vD=l(mh);Lo=r(vD,"A",{href:!0,rel:!0});var pD=l(Lo);_h=r(pD,"IMG",{src:!0,alt:!0}),pD.forEach(o),vD.forEach(o),Se.forEach(o),o1=i(f),_t=r(f,"TR",{});var Ge=l(_t);bh=r(Ge,"TD",{align:!0});var ED=l(bh);Bo=r(ED,"A",{href:!0,rel:!0});var TD=l(Bo);l1=h(TD,"Finetune T5 for Named Entity Recognition"),TD.forEach(o),ED.forEach(o),n1=i(Ge),Nt=r(Ge,"TD",{align:!0});var Ec=l(Nt);i1=h(Ec,"How to fine-tune "),tc=r(Ec,"EM",{});var wD=l(tc);s1=h(wD,"T5"),wD.forEach(o),h1=h(Ec," on a Named Entity Recognition Task"),Ec.forEach(o),c1=i(Ge),vh=r(Ge,"TD",{align:!0});var DD=l(vh);So=r(DD,"A",{href:!0,rel:!0});var yD=l(So);f1=h(yD,"Ogundepo Odunayo"),yD.forEach(o),DD.forEach(o),g1=i(Ge),ph=r(Ge,"TD",{align:!0});var AD=l(ph);Go=r(AD,"A",{href:!0,rel:!0});var kD=l(Go);Eh=r(kD,"IMG",{src:!0,alt:!0}),kD.forEach(o),AD.forEach(o),Ge.forEach(o),f.forEach(o),fc.forEach(o),this.h()},h(){e(bt,"name","hf:doc:metadata"),e(bt,"content",JSON.stringify(HD)),e(v,"id","community"),e(v,"class","header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full"),e(v,"href","#community"),e(m,"class","relative group"),e(kt,"id","community-resources"),e(kt,"class","header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full"),e(kt,"href","#community-resources"),e(wt,"class","relative group"),e(xo,"align","left"),e(zo,"align","left"),e(Vo,"align","right"),e(xe,"href","https://www.darigovresearch.com/huggingface-transformers-glossary-flashcards"),e(xe,"rel","nofollow"),e(qo,"align","left"),e(Qo,"href","glossary"),e(ze,"href","https://apps.ankiweb.net/"),e(ze,"rel","nofollow"),e(Ve,"href","https://www.youtube.com/watch?v=Dji_h7PILrw"),e(Ve,"rel","nofollow"),e(_,"align","left"),e(qe,"href","https://www.darigovresearch.com/"),e(qe,"rel","nofollow"),e(jo,"align","right"),e(Ct,"id","community-notebooks"),e(Ct,"class","header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full"),e(Ct,"href","#community-notebooks"),e(At,"class","relative group"),e(Wo,"align","left"),e(Uo,"align","left"),e($o,"align","left"),e(Sh,"align","right"),e(je,"href","https://github.com/AlekseyKorshuk/huggingartists"),e(je,"rel","nofollow"),e(Ko,"align","left"),e(Yo,"align","left"),e(We,"href","https://github.com/AlekseyKorshuk"),e(We,"rel","nofollow"),e(Xo,"align","left"),g(Zo.src,T1="https://colab.research.google.com/assets/colab-badge.svg")||e(Zo,"src",T1),e(Zo,"alt","Open In Colab"),e(Ue,"href","https://colab.research.google.com/github/AlekseyKorshuk/huggingartists/blob/master/huggingartists-demo.ipynb"),e(Ue,"rel","nofollow"),e(Jo,"align","right"),e($e,"href","https://github.com/snapthat/TF-T5-text-to-text"),e($e,"rel","nofollow"),e(tl,"align","left"),e(el,"align","left"),e(Ke,"href","https://github.com/HarrisDePerceptron"),e(Ke,"rel","nofollow"),e(al,"align","left"),g(ol.src,w1="https://colab.research.google.com/assets/colab-badge.svg")||e(ol,"src",w1),e(ol,"alt","Open In Colab"),e(Ye,"href","https://colab.research.google.com/github/snapthat/TF-T5-text-to-text/blob/master/snapthatT5/notebooks/TF-T5-Datasets%20Training.ipynb"),e(Ye,"rel","nofollow"),e(rl,"align","right"),e(Xe,"href","https://github.com/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb"),e(Xe,"rel","nofollow"),e(ll,"align","left"),e(nl,"align","left"),e(Je,"href","https://github.com/patil-suraj"),e(Je,"rel","nofollow"),e(il,"align","left"),g(hl.src,D1="https://colab.research.google.com/assets/colab-badge.svg")||e(hl,"src",D1),e(hl,"alt","Open In Colab"),e(Ze,"href","https://colab.research.google.com/github/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb#scrollTo=QLGiFCDqvuil"),e(Ze,"rel","nofollow"),e(sl,"align","right"),e(ta,"href","https://github.com/patil-suraj/exploring-T5/blob/master/t5_fine_tuning.ipynb"),e(ta,"rel","nofollow"),e(cl,"align","left"),e(fl,"align","left"),e(ea,"href","https://github.com/patil-suraj"),e(ea,"rel","nofollow"),e(gl,"align","left"),g(ul.src,y1="https://colab.research.google.com/assets/colab-badge.svg")||e(ul,"src",y1),e(ul,"alt","Open In Colab"),e(aa,"href","https://colab.research.google.com/github/patil-suraj/exploring-T5/blob/master/t5_fine_tuning.ipynb"),e(aa,"rel","nofollow"),e(dl,"align","right"),e(ra,"href","https://github.com/ncoop57/i-am-a-nerd/blob/master/_notebooks/2020-05-12-chatbot-part-1.ipynb"),e(ra,"rel","nofollow"),e(ml,"align","left"),e(_l,"align","left"),e(oa,"href","https://github.com/ncoop57"),e(oa,"rel","nofollow"),e(bl,"align","left"),g(pl.src,A1="https://colab.research.google.com/assets/colab-badge.svg")||e(pl,"src",A1),e(pl,"alt","Open In Colab"),e(la,"href","https://colab.research.google.com/github/ncoop57/i-am-a-nerd/blob/master/_notebooks/2020-05-12-chatbot-part-1.ipynb"),e(la,"rel","nofollow"),e(vl,"align","right"),e(na,"href","https://github.com/patrickvonplaten/notebooks/blob/master/PyTorch_Reformer.ipynb"),e(na,"rel","nofollow"),e(El,"align","left"),e(Tl,"align","left"),e(ia,"href","https://github.com/patrickvonplaten"),e(ia,"rel","nofollow"),e(wl,"align","left"),g(yl.src,k1="https://colab.research.google.com/assets/colab-badge.svg")||e(yl,"src",k1),e(yl,"alt","Open In Colab"),e(sa,"href","https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/PyTorch_Reformer.ipynb"),e(sa,"rel","nofollow"),e(Dl,"align","right"),e(ha,"href","https://github.com/ohmeow/ohmeow_website/blob/master/_notebooks/2020-05-23-text-generation-with-blurr.ipynb"),e(ha,"rel","nofollow"),e(Al,"align","left"),e(kl,"align","left"),e(ca,"href","https://ohmeow.com/"),e(ca,"rel","nofollow"),e(Rl,"align","left"),g(Fl.src,R1="https://colab.research.google.com/assets/colab-badge.svg")||e(Fl,"src",R1),e(Fl,"alt","Open In Colab"),e(fa,"href","https://colab.research.google.com/github/ohmeow/ohmeow_website/blob/master/_notebooks/2020-05-23-text-generation-with-blurr.ipynb"),e(fa,"rel","nofollow"),e(Cl,"align","right"),e(ga,"href","https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb"),e(ga,"rel","nofollow"),e(Ml,"align","left"),e(Il,"align","left"),e(da,"href","https://github.com/borisdayma"),e(da,"rel","nofollow"),e(Pl,"align","left"),g(Ll.src,C1="https://colab.research.google.com/assets/colab-badge.svg")||e(Ll,"src",C1),e(Ll,"alt","Open In Colab"),e(ua,"href","https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb"),e(ua,"rel","nofollow"),e(Hl,"align","right"),e(ma,"href","https://colab.research.google.com/github/wandb/examples/blob/master/colabs/huggingface/Optimize_Hugging_Face_models_with_Weights_%26_Biases.ipynb"),e(ma,"rel","nofollow"),e(Bl,"align","left"),e(Sl,"align","left"),e(_a,"href","https://github.com/borisdayma"),e(_a,"rel","nofollow"),e(Gl,"align","left"),g(Ol.src,F1="https://colab.research.google.com/assets/colab-badge.svg")||e(Ol,"src",F1),e(Ol,"alt","Open In Colab"),e(ba,"href","https://colab.research.google.com/github/wandb/examples/blob/master/colabs/huggingface/Optimize_Hugging_Face_models_with_Weights_%26_Biases.ipynb"),e(ba,"rel","nofollow"),e(Nl,"align","right"),e(va,"href","https://github.com/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb"),e(va,"rel","nofollow"),e(xl,"align","left"),e(zl,"align","left"),e(pa,"href","https://beltagy.net"),e(pa,"rel","nofollow"),e(Vl,"align","left"),g(Ql.src,M1="https://colab.research.google.com/assets/colab-badge.svg")||e(Ql,"src",M1),e(Ql,"alt","Open In Colab"),e(Ea,"href","https://colab.research.google.com/github/allenai/longformer/blob/master/scripts/convert_model_to_long.ipynb"),e(Ea,"rel","nofollow"),e(ql,"align","right"),e(Ta,"href","https://github.com/patil-suraj/Notebooks/blob/master/longformer_qa_training.ipynb"),e(Ta,"rel","nofollow"),e(jl,"align","left"),e(Wl,"align","left"),e(wa,"href","https://github.com/patil-suraj"),e(wa,"rel","nofollow"),e(Ul,"align","left"),g(Kl.src,I1="https://colab.research.google.com/assets/colab-badge.svg")||e(Kl,"src",I1),e(Kl,"alt","Open In Colab"),e(Da,"href","https://colab.research.google.com/github/patil-suraj/Notebooks/blob/master/longformer_qa_training.ipynb"),e(Da,"rel","nofollow"),e($l,"align","right"),e(ya,"href","https://github.com/patrickvonplaten/notebooks/blob/master/How_to_evaluate_Longformer_on_TriviaQA_using_NLP.ipynb"),e(ya,"rel","nofollow"),e(Yl,"align","left"),e(Aa,"align","left"),e(ka,"href","https://github.com/patrickvonplaten"),e(ka,"rel","nofollow"),e(Xl,"align","left"),g(Zl.src,P1="https://colab.research.google.com/assets/colab-badge.svg")||e(Zl,"src",P1),e(Zl,"alt","Open In Colab"),e(Ra,"href","https://colab.research.google.com/drive/1m7eTGlPmLRgoPkkA7rkhQdZ9ydpmsdLE?usp=sharing"),e(Ra,"rel","nofollow"),e(Jl,"align","right"),e(Ca,"href","https://github.com/enzoampil/t5-intro/blob/master/t5_qa_training_pytorch_span_extraction.ipynb"),e(Ca,"rel","nofollow"),e(tn,"align","left"),e(en,"align","left"),e(Fa,"href","https://github.com/enzoampil"),e(Fa,"rel","nofollow"),e(an,"align","left"),g(on.src,H1="https://colab.research.google.com/assets/colab-badge.svg")||e(on,"src",H1),e(on,"alt","Open In Colab"),e(Ma,"href","https://colab.research.google.com/github/enzoampil/t5-intro/blob/master/t5_qa_training_pytorch_span_extraction.ipynb"),e(Ma,"rel","nofollow"),e(rn,"align","right"),e(Ia,"href","https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_multiclass_classification.ipynb"),e(Ia,"rel","nofollow"),e(ln,"align","left"),e(nn,"align","left"),e(Pa,"href","https://github.com/abhimishra91"),e(Pa,"rel","nofollow"),e(sn,"align","left"),g(cn.src,L1="https://colab.research.google.com/assets/colab-badge.svg")||e(cn,"src",L1),e(cn,"alt","Open In Colab"),e(Ha,"href","https://colab.research.google.com/github/abhimishra91/transformers-tutorials/blob/master/transformers_multiclass_classification.ipynb"),e(Ha,"rel","nofollow"),e(hn,"align","right"),e(La,"href","https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_multi_label_classification.ipynb"),e(La,"rel","nofollow"),e(fn,"align","left"),e(gn,"align","left"),e(Ba,"href","https://github.com/abhimishra91"),e(Ba,"rel","nofollow"),e(dn,"align","left"),g(mn.src,B1="https://colab.research.google.com/assets/colab-badge.svg")||e(mn,"src",B1),e(mn,"alt","Open In Colab"),e(Sa,"href","https://colab.research.google.com/github/abhimishra91/transformers-tutorials/blob/master/transformers_multi_label_classification.ipynb"),e(Sa,"rel","nofollow"),e(un,"align","right"),e(Ga,"href","https://github.com/abhimishra91/transformers-tutorials/blob/master/transformers_summarization_wandb.ipynb"),e(Ga,"rel","nofollow"),e(_n,"align","left"),e(bn,"align","left"),e(Na,"href","https://github.com/abhimishra91"),e(Na,"rel","nofollow"),e(vn,"align","left"),g(En.src,S1="https://colab.research.google.com/assets/colab-badge.svg")||e(En,"src",S1),e(En,"alt","Open In Colab"),e(Oa,"href","https://colab.research.google.com/github/abhimishra91/transformers-tutorials/blob/master/transformers_summarization_wandb.ipynb"),e(Oa,"rel","nofollow"),e(pn,"align","right"),e(xa,"href","https://github.com/ELS-RD/transformers-notebook/blob/master/Divide_Hugging_Face_Transformers_training_time_by_2_or_more.ipynb"),e(xa,"rel","nofollow"),e(Tn,"align","left"),e(wn,"align","left"),e(za,"href","https://github.com/pommedeterresautee"),e(za,"rel","nofollow"),e(Dn,"align","left"),g(An.src,G1="https://colab.research.google.com/assets/colab-badge.svg")||e(An,"src",G1),e(An,"alt","Open In Colab"),e(Va,"href","https://colab.research.google.com/drive/1CBfRU1zbfu7-ijiOqAAQUA-RJaxfcJoO?usp=sharing"),e(Va,"rel","nofollow"),e(yn,"align","right"),e(qa,"href","https://github.com/patrickvonplaten/notebooks/blob/master/Reformer_For_Masked_LM.ipynb"),e(qa,"rel","nofollow"),e(kn,"align","left"),e(Rn,"align","left"),e(Qa,"href","https://github.com/patrickvonplaten"),e(Qa,"rel","nofollow"),e(Cn,"align","left"),g(Mn.src,N1="https://colab.research.google.com/assets/colab-badge.svg")||e(Mn,"src",N1),e(Mn,"alt","Open In Colab"),e(ja,"href","https://colab.research.google.com/drive/1tzzh0i8PgDQGV3SMFUGxM7_gGae3K-uW?usp=sharing"),e(ja,"rel","nofollow"),e(Fn,"align","right"),e(Wa,"href","https://github.com/lordtt13/word-embeddings/blob/master/COVID-19%20Research%20Data/COVID-SciBERT.ipynb"),e(Wa,"rel","nofollow"),e(In,"align","left"),e(Pn,"align","left"),e(Ua,"href","https://github.com/lordtt13"),e(Ua,"rel","nofollow"),e(Hn,"align","left"),g(Bn.src,O1="https://colab.research.google.com/assets/colab-badge.svg")||e(Bn,"src",O1),e(Bn,"alt","Open In Colab"),e($a,"href","https://colab.research.google.com/drive/1rqAR40goxbAfez1xvF3hBJphSCsvXmh8"),e($a,"rel","nofollow"),e(Ln,"align","right"),e(Ka,"href","https://github.com/lordtt13/transformers-experiments/blob/master/Custom%20Tasks/fine-tune-blenderbot_small-for-summarization.ipynb"),e(Ka,"rel","nofollow"),e(Sn,"align","left"),e(Gn,"align","left"),e(Ya,"href","https://github.com/lordtt13"),e(Ya,"rel","nofollow"),e(Nn,"align","left"),g(xn.src,x1="https://colab.research.google.com/assets/colab-badge.svg")||e(xn,"src",x1),e(xn,"alt","Open In Colab"),e(Xa,"href","https://colab.research.google.com/drive/19Wmupuls7mykSGyRN_Qo6lPQhgp56ymq?usp=sharing"),e(Xa,"rel","nofollow"),e(On,"align","right"),e(Ja,"href","https://github.com/elsanns/xai-nlp-notebooks/blob/master/electra_fine_tune_interpret_captum_ig.ipynb"),e(Ja,"rel","nofollow"),e(zn,"align","left"),e(Vn,"align","left"),e(Za,"href","https://elsanns.github.io"),e(Za,"rel","nofollow"),e(qn,"align","left"),g(jn.src,z1="https://colab.research.google.com/assets/colab-badge.svg")||e(jn,"src",z1),e(jn,"alt","Open In Colab"),e(tr,"href","https://colab.research.google.com/github/elsanns/xai-nlp-notebooks/blob/master/electra_fine_tune_interpret_captum_ig.ipynb"),e(tr,"rel","nofollow"),e(Qn,"align","right"),e(er,"href","https://github.com/philschmid/fine-tune-GPT-2/blob/master/Fine_tune_a_non_English_GPT_2_Model_with_Huggingface.ipynb"),e(er,"rel","nofollow"),e(Wn,"align","left"),e(Un,"align","left"),e(ar,"href","https://www.philschmid.de"),e(ar,"rel","nofollow"),e($n,"align","left"),g(Yn.src,V1="https://colab.research.google.com/assets/colab-badge.svg")||e(Yn,"src",V1),e(Yn,"alt","Open In Colab"),e(rr,"href","https://colab.research.google.com/github/philschmid/fine-tune-GPT-2/blob/master/Fine_tune_a_non_English_GPT_2_Model_with_Huggingface.ipynb"),e(rr,"rel","nofollow"),e(Kn,"align","right"),e(or,"href","https://github.com/DhavalTaunk08/Transformers_scripts/blob/master/Transformers_multilabel_distilbert.ipynb"),e(or,"rel","nofollow"),e(Xn,"align","left"),e(Jn,"align","left"),e(lr,"href","https://github.com/DhavalTaunk08"),e(lr,"rel","nofollow"),e(Zn,"align","left"),g(ei.src,q1="https://colab.research.google.com/assets/colab-badge.svg")||e(ei,"src",q1),e(ei,"alt","Open In Colab"),e(nr,"href","https://colab.research.google.com/github/DhavalTaunk08/Transformers_scripts/blob/master/Transformers_multilabel_distilbert.ipynb"),e(nr,"rel","nofollow"),e(ti,"align","right"),e(ir,"href","https://github.com/NadirEM/nlp-notebooks/blob/master/Fine_tune_ALBERT_sentence_pair_classification.ipynb"),e(ir,"rel","nofollow"),e(ai,"align","left"),e(ri,"align","left"),e(sr,"href","https://github.com/NadirEM"),e(sr,"rel","nofollow"),e(oi,"align","left"),g(ni.src,Q1="https://colab.research.google.com/assets/colab-badge.svg")||e(ni,"src",Q1),e(ni,"alt","Open In Colab"),e(hr,"href","https://colab.research.google.com/github/NadirEM/nlp-notebooks/blob/master/Fine_tune_ALBERT_sentence_pair_classification.ipynb"),e(hr,"rel","nofollow"),e(li,"align","right"),e(cr,"href","https://github.com/DhavalTaunk08/NLP_scripts/blob/master/sentiment_analysis_using_roberta.ipynb"),e(cr,"rel","nofollow"),e(ii,"align","left"),e(si,"align","left"),e(fr,"href","https://github.com/DhavalTaunk08"),e(fr,"rel","nofollow"),e(hi,"align","left"),g(fi.src,j1="https://colab.research.google.com/assets/colab-badge.svg")||e(fi,"src",j1),e(fi,"alt","Open In Colab"),e(gr,"href","https://colab.research.google.com/github/DhavalTaunk08/NLP_scripts/blob/master/sentiment_analysis_using_roberta.ipynb"),e(gr,"rel","nofollow"),e(ci,"align","right"),e(dr,"href","https://github.com/flexudy-pipe/qugeev"),e(dr,"rel","nofollow"),e(gi,"align","left"),e(di,"align","left"),e(ur,"href","https://github.com/zolekode"),e(ur,"rel","nofollow"),e(ui,"align","left"),g(_i.src,W1="https://colab.research.google.com/assets/colab-badge.svg")||e(_i,"src",W1),e(_i,"alt","Open In Colab"),e(mr,"href","https://colab.research.google.com/drive/1bpsSqCQU-iw_5nNoRm_crPq6FRuJthq_?usp=sharing"),e(mr,"rel","nofollow"),e(mi,"align","right"),e(_r,"href","https://github.com/peterbayerle/huggingface_notebook/blob/main/distilbert_tf.ipynb"),e(_r,"rel","nofollow"),e(bi,"align","left"),e(vi,"align","left"),e(br,"href","https://github.com/peterbayerle"),e(br,"rel","nofollow"),e(pi,"align","left"),g(Ti.src,U1="https://colab.research.google.com/assets/colab-badge.svg")||e(Ti,"src",U1),e(Ti,"alt","Open In Colab"),e(vr,"href","https://colab.research.google.com/github/peterbayerle/huggingface_notebook/blob/main/distilbert_tf.ipynb"),e(vr,"rel","nofollow"),e(Ei,"align","right"),e(pr,"href","https://github.com/patrickvonplaten/notebooks/blob/master/BERT2BERT_for_CNN_Dailymail.ipynb"),e(pr,"rel","nofollow"),e(wi,"align","left"),e(vt,"align","left"),e(Er,"href","https://github.com/patrickvonplaten"),e(Er,"rel","nofollow"),e(Di,"align","left"),g(Ai.src,$1="https://colab.research.google.com/assets/colab-badge.svg")||e(Ai,"src",$1),e(Ai,"alt","Open In Colab"),e(Tr,"href","https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/BERT2BERT_for_CNN_Dailymail.ipynb"),e(Tr,"rel","nofollow"),e(yi,"align","right"),e(wr,"href","https://github.com/patrickvonplaten/notebooks/blob/master/RoBERTaShared_for_BBC_XSum.ipynb"),e(wr,"rel","nofollow"),e(ki,"align","left"),e(pt,"align","left"),e(Dr,"href","https://github.com/patrickvonplaten"),e(Dr,"rel","nofollow"),e(Ri,"align","left"),g(Fi.src,K1="https://colab.research.google.com/assets/colab-badge.svg")||e(Fi,"src",K1),e(Fi,"alt","Open In Colab"),e(yr,"href","https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/RoBERTaShared_for_BBC_XSum.ipynb"),e(yr,"rel","nofollow"),e(Ci,"align","right"),e(Ar,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb"),e(Ar,"rel","nofollow"),e(Mi,"align","left"),e(Et,"align","left"),e(kr,"href","https://github.com/nielsrogge"),e(kr,"rel","nofollow"),e(Ii,"align","left"),g(Hi.src,Y1="https://colab.research.google.com/assets/colab-badge.svg")||e(Hi,"src",Y1),e(Hi,"alt","Open In Colab"),e(Rr,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Fine_tuning_TapasForQuestionAnswering_on_SQA.ipynb"),e(Rr,"rel","nofollow"),e(Pi,"align","right"),e(Cr,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Evaluating_TAPAS_on_the_Tabfact_test_set.ipynb"),e(Cr,"rel","nofollow"),e(Li,"align","left"),e(Tt,"align","left"),e(Fr,"href","https://github.com/nielsrogge"),e(Fr,"rel","nofollow"),e(Bi,"align","left"),g(Gi.src,X1="https://colab.research.google.com/assets/colab-badge.svg")||e(Gi,"src",X1),e(Gi,"alt","Open In Colab"),e(Mr,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/TAPAS/Evaluating_TAPAS_on_the_Tabfact_test_set.ipynb"),e(Mr,"rel","nofollow"),e(Si,"align","right"),e(Ir,"href","https://colab.research.google.com/github/vasudevgupta7/huggingface-tutorials/blob/main/translation_training.ipynb"),e(Ir,"rel","nofollow"),e(Ni,"align","left"),e(Oi,"align","left"),e(Pr,"href","https://github.com/vasudevgupta7"),e(Pr,"rel","nofollow"),e(xi,"align","left"),g(Vi.src,J1="https://colab.research.google.com/assets/colab-badge.svg")||e(Vi,"src",J1),e(Vi,"alt","Open In Colab"),e(Hr,"href","https://colab.research.google.com/github/vasudevgupta7/huggingface-tutorials/blob/main/translation_training.ipynb"),e(Hr,"rel","nofollow"),e(zi,"align","right"),e(Lr,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb"),e(Lr,"rel","nofollow"),e(qi,"align","left"),e(Mt,"align","left"),e(Br,"href","https://github.com/nielsrogge"),e(Br,"rel","nofollow"),e(Qi,"align","left"),g(Wi.src,Z1="https://colab.research.google.com/assets/colab-badge.svg")||e(Wi,"src",Z1),e(Wi,"alt","Open In Colab"),e(Sr,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForTokenClassification_on_FUNSD.ipynb"),e(Sr,"rel","nofollow"),e(ji,"align","right"),e(Gr,"href","https://colab.research.google.com/github/tripathiaakash/DistilGPT2-Tutorial/blob/main/distilgpt2_fine_tuning.ipynb"),e(Gr,"rel","nofollow"),e(Ui,"align","left"),e($i,"align","left"),e(Nr,"href","https://github.com/tripathiaakash"),e(Nr,"rel","nofollow"),e(Ki,"align","left"),g(Xi.src,tv="https://colab.research.google.com/assets/colab-badge.svg")||e(Xi,"src",tv),e(Xi,"alt","Open In Colab"),e(Or,"href","https://colab.research.google.com/github/tripathiaakash/DistilGPT2-Tutorial/blob/main/distilgpt2_fine_tuning.ipynb"),e(Or,"rel","nofollow"),e(Yi,"align","right"),e(xr,"href","https://github.com/patrickvonplaten/notebooks/blob/master/Fine_tune_Longformer_Encoder_Decoder_(LED)_for_Summarization_on_pubmed.ipynb"),e(xr,"rel","nofollow"),e(Ji,"align","left"),e(Zi,"align","left"),e(zr,"href","https://github.com/patrickvonplaten"),e(zr,"rel","nofollow"),e(ts,"align","left"),g(as.src,ev="https://colab.research.google.com/assets/colab-badge.svg")||e(as,"src",ev),e(as,"alt","Open In Colab"),e(Vr,"href","https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_tune_Longformer_Encoder_Decoder_(LED)_for_Summarization_on_pubmed.ipynb"),e(Vr,"rel","nofollow"),e(es,"align","right"),e(qr,"href","https://github.com/patrickvonplaten/notebooks/blob/master/LED_on_Arxiv.ipynb"),e(qr,"rel","nofollow"),e(rs,"align","left"),e(os,"align","left"),e(Qr,"href","https://github.com/patrickvonplaten"),e(Qr,"rel","nofollow"),e(ls,"align","left"),g(is.src,av="https://colab.research.google.com/assets/colab-badge.svg")||e(is,"src",av),e(is,"alt","Open In Colab"),e(jr,"href","https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/LED_on_Arxiv.ipynb"),e(jr,"rel","nofollow"),e(ns,"align","right"),e(Wr,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForSequenceClassification_on_RVL_CDIP.ipynb"),e(Wr,"rel","nofollow"),e(ss,"align","left"),e(It,"align","left"),e(Ur,"href","https://github.com/nielsrogge"),e(Ur,"rel","nofollow"),e(hs,"align","left"),g(fs.src,rv="https://colab.research.google.com/assets/colab-badge.svg")||e(fs,"src",rv),e(fs,"alt","Open In Colab"),e($r,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/LayoutLM/Fine_tuning_LayoutLMForSequenceClassification_on_RVL_CDIP.ipynb"),e($r,"rel","nofollow"),e(cs,"align","right"),e(Kr,"href","https://github.com/voidful/huggingface_notebook/blob/main/xlsr_gpt.ipynb"),e(Kr,"rel","nofollow"),e(gs,"align","left"),e(ds,"align","left"),e(Yr,"href","https://github.com/voidful"),e(Yr,"rel","nofollow"),e(us,"align","left"),g(_s.src,ov="https://colab.research.google.com/assets/colab-badge.svg")||e(_s,"src",ov),e(_s,"alt","Open In Colab"),e(Xr,"href","https://colab.research.google.com/drive/1e_z5jQHYbO2YKEaUgzb1ww1WwiAyydAj?usp=sharing"),e(Xr,"rel","nofollow"),e(ms,"align","right"),e(Jr,"href","https://github.com/elsanns/xai-nlp-notebooks/blob/master/fine_tune_bart_summarization_two_langs.ipynb"),e(Jr,"rel","nofollow"),e(bs,"align","left"),e(vs,"align","left"),e(Zr,"href","https://github.com/elsanns"),e(Zr,"rel","nofollow"),e(ps,"align","left"),g(Ts.src,lv="https://colab.research.google.com/assets/colab-badge.svg")||e(Ts,"src",lv),e(Ts,"alt","Open In Colab"),e(to,"href","https://colab.research.google.com/github/elsanns/xai-nlp-notebooks/blob/master/fine_tune_bart_summarization_two_langs.ipynb"),e(to,"rel","nofollow"),e(Es,"align","right"),e(eo,"href","https://github.com/patrickvonplaten/notebooks/blob/master/Evaluating_Big_Bird_on_TriviaQA.ipynb"),e(eo,"rel","nofollow"),e(ws,"align","left"),e(Ds,"align","left"),e(ao,"href","https://github.com/patrickvonplaten"),e(ao,"rel","nofollow"),e(ys,"align","left"),g(ks.src,nv="https://colab.research.google.com/assets/colab-badge.svg")||e(ks,"src",nv),e(ks,"alt","Open In Colab"),e(ro,"href","https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Evaluating_Big_Bird_on_TriviaQA.ipynb"),e(ro,"rel","nofollow"),e(As,"align","right"),e(oo,"href","https://github.com/Muennighoff/ytclipcc/blob/main/wav2vec_youtube_captions.ipynb"),e(oo,"rel","nofollow"),e(Rs,"align","left"),e(Cs,"align","left"),e(lo,"href","https://github.com/Muennighoff"),e(lo,"rel","nofollow"),e(Fs,"align","left"),g(Is.src,iv="https://colab.research.google.com/assets/colab-badge.svg")||e(Is,"src",iv),e(Is,"alt","Open In Colab"),e(no,"href","https://colab.research.google.com/github/Muennighoff/ytclipcc/blob/main/wav2vec_youtube_captions.ipynb"),e(no,"rel","nofollow"),e(Ms,"align","right"),e(io,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_PyTorch_Lightning.ipynb"),e(io,"rel","nofollow"),e(Ps,"align","left"),e(Hs,"align","left"),e(so,"href","https://github.com/nielsrogge"),e(so,"rel","nofollow"),e(Ls,"align","left"),g(Ss.src,sv="https://colab.research.google.com/assets/colab-badge.svg")||e(Ss,"src",sv),e(Ss,"alt","Open In Colab"),e(ho,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_PyTorch_Lightning.ipynb"),e(ho,"rel","nofollow"),e(Bs,"align","right"),e(co,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_the_%F0%9F%A4%97_Trainer.ipynb"),e(co,"rel","nofollow"),e(Gs,"align","left"),e(Ns,"align","left"),e(fo,"href","https://github.com/nielsrogge"),e(fo,"rel","nofollow"),e(Os,"align","left"),g(zs.src,hv="https://colab.research.google.com/assets/colab-badge.svg")||e(zs,"src",hv),e(zs,"alt","Open In Colab"),e(go,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/VisionTransformer/Fine_tuning_the_Vision_Transformer_on_CIFAR_10_with_the_%F0%9F%A4%97_Trainer.ipynb"),e(go,"rel","nofollow"),e(xs,"align","right"),e(uo,"href","https://github.com/studio-ousia/luke/blob/master/notebooks/huggingface_open_entity.ipynb"),e(uo,"rel","nofollow"),e(Vs,"align","left"),e(Pt,"align","left"),e(mo,"href","https://github.com/ikuyamada"),e(mo,"rel","nofollow"),e(qs,"align","left"),g(js.src,cv="https://colab.research.google.com/assets/colab-badge.svg")||e(js,"src",cv),e(js,"alt","Open In Colab"),e(_o,"href","https://colab.research.google.com/github/studio-ousia/luke/blob/master/notebooks/huggingface_open_entity.ipynb"),e(_o,"rel","nofollow"),e(Qs,"align","right"),e(bo,"href","https://github.com/studio-ousia/luke/blob/master/notebooks/huggingface_tacred.ipynb"),e(bo,"rel","nofollow"),e(Ws,"align","left"),e(Ht,"align","left"),e(vo,"href","https://github.com/ikuyamada"),e(vo,"rel","nofollow"),e(Us,"align","left"),g(Ks.src,fv="https://colab.research.google.com/assets/colab-badge.svg")||e(Ks,"src",fv),e(Ks,"alt","Open In Colab"),e(po,"href","https://colab.research.google.com/github/studio-ousia/luke/blob/master/notebooks/huggingface_tacred.ipynb"),e(po,"rel","nofollow"),e($s,"align","right"),e(Eo,"href","https://github.com/studio-ousia/luke/blob/master/notebooks/huggingface_conll_2003.ipynb"),e(Eo,"rel","nofollow"),e(Ys,"align","left"),e(Lt,"align","left"),e(To,"href","https://github.com/ikuyamada"),e(To,"rel","nofollow"),e(Xs,"align","left"),g(Zs.src,gv="https://colab.research.google.com/assets/colab-badge.svg")||e(Zs,"src",gv),e(Zs,"alt","Open In Colab"),e(wo,"href","https://colab.research.google.com/github/studio-ousia/luke/blob/master/notebooks/huggingface_conll_2003.ipynb"),e(wo,"rel","nofollow"),e(Js,"align","right"),e(Do,"href","https://github.com/vasudevgupta7/bigbird/blob/main/notebooks/bigbird_pegasus_evaluation.ipynb"),e(Do,"rel","nofollow"),e(th,"align","left"),e(Bt,"align","left"),e(yo,"href","https://github.com/vasudevgupta7"),e(yo,"rel","nofollow"),e(eh,"align","left"),g(rh.src,dv="https://colab.research.google.com/assets/colab-badge.svg")||e(rh,"src",dv),e(rh,"alt","Open In Colab"),e(Ao,"href","https://colab.research.google.com/github/vasudevgupta7/bigbird/blob/main/notebooks/bigbird_pegasus_evaluation.ipynb"),e(Ao,"rel","nofollow"),e(ah,"align","right"),e(ko,"href","https://github/m3hrdadfi/soxan/blob/main/notebooks/Emotion_recognition_in_Greek_speech_using_Wav2Vec2.ipynb"),e(ko,"rel","nofollow"),e(oh,"align","left"),e(lh,"align","left"),e(Ro,"href","https://github.com/m3hrdadfi"),e(Ro,"rel","nofollow"),e(nh,"align","left"),g(sh.src,uv="https://colab.research.google.com/assets/colab-badge.svg")||e(sh,"src",uv),e(sh,"alt","Open In Colab"),e(Co,"href","https://colab.research.google.com/github/m3hrdadfi/soxan/blob/main/notebooks/Emotion_recognition_in_Greek_speech_using_Wav2Vec2.ipynb"),e(Co,"rel","nofollow"),e(ih,"align","right"),e(Fo,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_minimal_example_(with_DetrFeatureExtractor).ipynb"),e(Fo,"rel","nofollow"),e(hh,"align","left"),e(St,"align","left"),e(Mo,"href","https://github.com/NielsRogge"),e(Mo,"rel","nofollow"),e(ch,"align","left"),g(gh.src,mv="https://colab.research.google.com/assets/colab-badge.svg")||e(gh,"src",mv),e(gh,"alt","Open In Colab"),e(Io,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/DETR_minimal_example_(with_DetrFeatureExtractor).ipynb"),e(Io,"rel","nofollow"),e(fh,"align","right"),e(Po,"href","https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForObjectDetection_on_custom_dataset_(balloon).ipynb"),e(Po,"rel","nofollow"),e(dh,"align","left"),e(Gt,"align","left"),e(Ho,"href","https://github.com/NielsRogge"),e(Ho,"rel","nofollow"),e(uh,"align","left"),g(_h.src,_v="https://colab.research.google.com/assets/colab-badge.svg")||e(_h,"src",_v),e(_h,"alt","Open In Colab"),e(Lo,"href","https://colab.research.google.com/github/NielsRogge/Transformers-Tutorials/blob/master/DETR/Fine_tuning_DetrForObjectDetection_on_custom_dataset_(balloon).ipynb"),e(Lo,"rel","nofollow"),e(mh,"align","right"),e(Bo,"href","https://github.com/ToluClassics/Notebooks/blob/main/T5_Ner_Finetuning.ipynb"),e(Bo,"rel","nofollow"),e(bh,"align","left"),e(Nt,"align","left"),e(So,"href","https://github.com/ToluClassics"),e(So,"rel","nofollow"),e(vh,"align","left"),g(Eh.src,bv="https://colab.research.google.com/assets/colab-badge.svg")||e(Eh,"src",bv),e(Eh,"alt","Open In Colab"),e(Go,"href","https://colab.research.google.com/drive/1obr78FY_cBmWY5ODViCmzdY6O1KB65Vc?usp=sharing"),e(Go,"rel","nofollow"),e(ph,"align","right")},m(d,u){t(document.head,bt),b(d,No,u),b(d,m,u),t(m,v),t(v,Rh),_1(Ne,Rh,null),t(m,wc),t(m,Ch),t(Ch,Dc),b(d,ec,u),b(d,Oo,u),t(Oo,yc),b(d,ac,u),b(d,wt,u),t(wt,kt),t(kt,Fh),_1(Oe,Fh,null),t(wt,Ac),t(wt,Mh),t(Mh,kc),b(d,rc,u),b(d,Rt,u),t(Rt,Ih),t(Ih,Dt),t(Dt,xo),t(xo,Rc),t(Dt,Cc),t(Dt,zo),t(zo,Fc),t(Dt,Mc),t(Dt,Vo),t(Vo,Ic),t(Rt,Pc),t(Rt,Ph),t(Ph,yt),t(yt,qo),t(qo,xe),t(xe,Hc),t(yt,Lc),t(yt,_),t(_,Bc),t(_,Qo),t(Qo,Sc),t(_,Gc),t(_,ze),t(ze,Nc),t(_,Oc),t(_,Ve),t(Ve,xc),t(_,zc),t(yt,Vc),t(yt,jo),t(jo,qe),t(qe,qc),b(d,oc,u),b(d,At,u),t(At,Ct),t(Ct,Hh),_1(Qe,Hh,null),t(At,Qc),t(At,Lh),t(Lh,jc),b(d,lc,u),b(d,Ft,u),t(Ft,Bh),t(Bh,p),t(p,Wo),t(Wo,Wc),t(p,Uc),t(p,Uo),t(Uo,$c),t(p,Kc),t(p,$o),t($o,Yc),t(p,Xc),t(p,Sh),t(Ft,Jc),t(Ft,c),t(c,E),t(E,Ko),t(Ko,je),t(je,Zc),t(E,tf),t(E,Yo),t(Yo,ef),t(E,af),t(E,Xo),t(Xo,We),t(We,rf),t(E,of),t(E,Jo),t(Jo,Ue),t(Ue,Zo),t(c,lf),t(c,T),t(T,tl),t(tl,$e),t($e,nf),t(T,sf),t(T,el),t(el,hf),t(T,cf),t(T,al),t(al,Ke),t(Ke,ff),t(T,gf),t(T,rl),t(rl,Ye),t(Ye,ol),t(c,df),t(c,w),t(w,ll),t(ll,Xe),t(Xe,uf),t(w,mf),t(w,nl),t(nl,_f),t(w,bf),t(w,il),t(il,Je),t(Je,vf),t(w,pf),t(w,sl),t(sl,Ze),t(Ze,hl),t(c,Ef),t(c,D),t(D,cl),t(cl,ta),t(ta,Tf),t(D,wf),t(D,fl),t(fl,Df),t(D,yf),t(D,gl),t(gl,ea),t(ea,Af),t(D,kf),t(D,dl),t(dl,aa),t(aa,ul),t(c,Rf),t(c,y),t(y,ml),t(ml,ra),t(ra,Cf),t(y,Ff),t(y,_l),t(_l,Mf),t(y,If),t(y,bl),t(bl,oa),t(oa,Pf),t(y,Hf),t(y,vl),t(vl,la),t(la,pl),t(c,Lf),t(c,A),t(A,El),t(El,na),t(na,Bf),t(A,Sf),t(A,Tl),t(Tl,Gf),t(A,Nf),t(A,wl),t(wl,ia),t(ia,Of),t(A,xf),t(A,Dl),t(Dl,sa),t(sa,yl),t(c,zf),t(c,k),t(k,Al),t(Al,ha),t(ha,Vf),t(k,qf),t(k,kl),t(kl,Qf),t(k,jf),t(k,Rl),t(Rl,ca),t(ca,Wf),t(k,Uf),t(k,Cl),t(Cl,fa),t(fa,Fl),t(c,$f),t(c,R),t(R,Ml),t(Ml,ga),t(ga,Kf),t(R,Yf),t(R,Il),t(Il,Xf),t(R,Jf),t(R,Pl),t(Pl,da),t(da,Zf),t(R,tg),t(R,Hl),t(Hl,ua),t(ua,Ll),t(c,eg),t(c,C),t(C,Bl),t(Bl,ma),t(ma,ag),t(C,rg),t(C,Sl),t(Sl,og),t(C,lg),t(C,Gl),t(Gl,_a),t(_a,ng),t(C,ig),t(C,Nl),t(Nl,ba),t(ba,Ol),t(c,sg),t(c,F),t(F,xl),t(xl,va),t(va,hg),t(F,cg),t(F,zl),t(zl,fg),t(F,gg),t(F,Vl),t(Vl,pa),t(pa,dg),t(F,ug),t(F,ql),t(ql,Ea),t(Ea,Ql),t(c,mg),t(c,M),t(M,jl),t(jl,Ta),t(Ta,_g),t(M,bg),t(M,Wl),t(Wl,vg),t(M,pg),t(M,Ul),t(Ul,wa),t(wa,Eg),t(M,Tg),t(M,$l),t($l,Da),t(Da,Kl),t(c,wg),t(c,I),t(I,Yl),t(Yl,ya),t(ya,Dg),t(I,yg),t(I,Aa),t(Aa,Ag),t(Aa,Gh),t(Gh,kg),t(I,Rg),t(I,Xl),t(Xl,ka),t(ka,Cg),t(I,Fg),t(I,Jl),t(Jl,Ra),t(Ra,Zl),t(c,Mg),t(c,P),t(P,tn),t(tn,Ca),t(Ca,Ig),t(P,Pg),t(P,en),t(en,Hg),t(P,Lg),t(P,an),t(an,Fa),t(Fa,Bg),t(P,Sg),t(P,rn),t(rn,Ma),t(Ma,on),t(c,Gg),t(c,H),t(H,ln),t(ln,Ia),t(Ia,Ng),t(H,Og),t(H,nn),t(nn,xg),t(H,zg),t(H,sn),t(sn,Pa),t(Pa,Vg),t(H,qg),t(H,hn),t(hn,Ha),t(Ha,cn),t(c,Qg),t(c,L),t(L,fn),t(fn,La),t(La,jg),t(L,Wg),t(L,gn),t(gn,Ug),t(L,$g),t(L,dn),t(dn,Ba),t(Ba,Kg),t(L,Yg),t(L,un),t(un,Sa),t(Sa,mn),t(c,Xg),t(c,B),t(B,_n),t(_n,Ga),t(Ga,Jg),t(B,Zg),t(B,bn),t(bn,td),t(B,ed),t(B,vn),t(vn,Na),t(Na,ad),t(B,rd),t(B,pn),t(pn,Oa),t(Oa,En),t(c,od),t(c,S),t(S,Tn),t(Tn,xa),t(xa,ld),t(S,nd),t(S,wn),t(wn,id),t(S,sd),t(S,Dn),t(Dn,za),t(za,hd),t(S,cd),t(S,yn),t(yn,Va),t(Va,An),t(c,fd),t(c,G),t(G,kn),t(kn,qa),t(qa,gd),t(G,dd),t(G,Rn),t(Rn,ud),t(G,md),t(G,Cn),t(Cn,Qa),t(Qa,_d),t(G,bd),t(G,Fn),t(Fn,ja),t(ja,Mn),t(c,vd),t(c,N),t(N,In),t(In,Wa),t(Wa,pd),t(N,Ed),t(N,Pn),t(Pn,Td),t(N,wd),t(N,Hn),t(Hn,Ua),t(Ua,Dd),t(N,yd),t(N,Ln),t(Ln,$a),t($a,Bn),t(c,Ad),t(c,O),t(O,Sn),t(Sn,Ka),t(Ka,kd),t(O,Rd),t(O,Gn),t(Gn,Cd),t(O,Fd),t(O,Nn),t(Nn,Ya),t(Ya,Md),t(O,Id),t(O,On),t(On,Xa),t(Xa,xn),t(c,Pd),t(c,x),t(x,zn),t(zn,Ja),t(Ja,Hd),t(x,Ld),t(x,Vn),t(Vn,Bd),t(x,Sd),t(x,qn),t(qn,Za),t(Za,Gd),t(x,Nd),t(x,Qn),t(Qn,tr),t(tr,jn),t(c,Od),t(c,z),t(z,Wn),t(Wn,er),t(er,xd),t(z,zd),t(z,Un),t(Un,Vd),t(z,qd),t(z,$n),t($n,ar),t(ar,Qd),t(z,jd),t(z,Kn),t(Kn,rr),t(rr,Yn),t(c,Wd),t(c,V),t(V,Xn),t(Xn,or),t(or,Ud),t(V,$d),t(V,Jn),t(Jn,Kd),t(V,Yd),t(V,Zn),t(Zn,lr),t(lr,Xd),t(V,Jd),t(V,ti),t(ti,nr),t(nr,ei),t(c,Zd),t(c,q),t(q,ai),t(ai,ir),t(ir,tu),t(q,eu),t(q,ri),t(ri,au),t(q,ru),t(q,oi),t(oi,sr),t(sr,ou),t(q,lu),t(q,li),t(li,hr),t(hr,ni),t(c,nu),t(c,Q),t(Q,ii),t(ii,cr),t(cr,iu),t(Q,su),t(Q,si),t(si,hu),t(Q,cu),t(Q,hi),t(hi,fr),t(fr,fu),t(Q,gu),t(Q,ci),t(ci,gr),t(gr,fi),t(c,du),t(c,j),t(j,gi),t(gi,dr),t(dr,uu),t(j,mu),t(j,di),t(di,_u),t(j,bu),t(j,ui),t(ui,ur),t(ur,vu),t(j,pu),t(j,mi),t(mi,mr),t(mr,_i),t(c,Eu),t(c,W),t(W,bi),t(bi,_r),t(_r,Tu),t(W,wu),t(W,vi),t(vi,Du),t(W,yu),t(W,pi),t(pi,br),t(br,Au),t(W,ku),t(W,Ei),t(Ei,vr),t(vr,Ti),t(c,Ru),t(c,U),t(U,wi),t(wi,pr),t(pr,Cu),t(U,Fu),t(U,vt),t(vt,Mu),t(vt,Nh),t(Nh,Iu),t(vt,Pu),t(vt,Oh),t(Oh,Hu),t(vt,Lu),t(U,Bu),t(U,Di),t(Di,Er),t(Er,Su),t(U,Gu),t(U,yi),t(yi,Tr),t(Tr,Ai),t(c,Nu),t(c,$),t($,ki),t(ki,wr),t(wr,Ou),t($,xu),t($,pt),t(pt,zu),t(pt,xh),t(xh,Vu),t(pt,qu),t(pt,zh),t(zh,Qu),t(pt,ju),t($,Wu),t($,Ri),t(Ri,Dr),t(Dr,Uu),t($,$u),t($,Ci),t(Ci,yr),t(yr,Fi),t(c,Ku),t(c,K),t(K,Mi),t(Mi,Ar),t(Ar,Yu),t(K,Xu),t(K,Et),t(Et,Ju),t(Et,Vh),t(Vh,Zu),t(Et,tm),t(Et,qh),t(qh,em),t(Et,am),t(K,rm),t(K,Ii),t(Ii,kr),t(kr,om),t(K,lm),t(K,Pi),t(Pi,Rr),t(Rr,Hi),t(c,nm),t(c,Y),t(Y,Li),t(Li,Cr),t(Cr,im),t(Y,sm),t(Y,Tt),t(Tt,hm),t(Tt,Qh),t(Qh,cm),t(Tt,fm),t(Tt,jh),t(jh,gm),t(Tt,dm),t(Y,um),t(Y,Bi),t(Bi,Fr),t(Fr,mm),t(Y,_m),t(Y,Si),t(Si,Mr),t(Mr,Gi),t(c,bm),t(c,X),t(X,Ni),t(Ni,Ir),t(Ir,vm),t(X,pm),t(X,Oi),t(Oi,Em),t(X,Tm),t(X,xi),t(xi,Pr),t(Pr,wm),t(X,Dm),t(X,zi),t(zi,Hr),t(Hr,Vi),t(c,ym),t(c,J),t(J,qi),t(qi,Lr),t(Lr,Am),t(J,km),t(J,Mt),t(Mt,Rm),t(Mt,Wh),t(Wh,Cm),t(Mt,Fm),t(J,Mm),t(J,Qi),t(Qi,Br),t(Br,Im),t(J,Pm),t(J,ji),t(ji,Sr),t(Sr,Wi),t(c,Hm),t(c,Z),t(Z,Ui),t(Ui,Gr),t(Gr,Lm),t(Z,Bm),t(Z,$i),t($i,Sm),t(Z,Gm),t(Z,Ki),t(Ki,Nr),t(Nr,Nm),t(Z,Om),t(Z,Yi),t(Yi,Or),t(Or,Xi),t(c,xm),t(c,tt),t(tt,Ji),t(Ji,xr),t(xr,zm),t(tt,Vm),t(tt,Zi),t(Zi,qm),t(tt,Qm),t(tt,ts),t(ts,zr),t(zr,jm),t(tt,Wm),t(tt,es),t(es,Vr),t(Vr,as),t(c,Um),t(c,et),t(et,rs),t(rs,qr),t(qr,$m),t(et,Km),t(et,os),t(os,Ym),t(et,Xm),t(et,ls),t(ls,Qr),t(Qr,Jm),t(et,Zm),t(et,ns),t(ns,jr),t(jr,is),t(c,t_),t(c,at),t(at,ss),t(ss,Wr),t(Wr,e_),t(at,a_),t(at,It),t(It,r_),t(It,Uh),t(Uh,o_),t(It,l_),t(at,n_),t(at,hs),t(hs,Ur),t(Ur,i_),t(at,s_),t(at,cs),t(cs,$r),t($r,fs),t(c,h_),t(c,rt),t(rt,gs),t(gs,Kr),t(Kr,c_),t(rt,f_),t(rt,ds),t(ds,g_),t(rt,d_),t(rt,us),t(us,Yr),t(Yr,u_),t(rt,m_),t(rt,ms),t(ms,Xr),t(Xr,_s),t(c,__),t(c,ot),t(ot,bs),t(bs,Jr),t(Jr,b_),t(ot,v_),t(ot,vs),t(vs,p_),t(ot,E_),t(ot,ps),t(ps,Zr),t(Zr,T_),t(ot,w_),t(ot,Es),t(Es,to),t(to,Ts),t(c,D_),t(c,lt),t(lt,ws),t(ws,eo),t(eo,y_),t(lt,A_),t(lt,Ds),t(Ds,k_),t(lt,R_),t(lt,ys),t(ys,ao),t(ao,C_),t(lt,F_),t(lt,As),t(As,ro),t(ro,ks),t(c,M_),t(c,nt),t(nt,Rs),t(Rs,oo),t(oo,I_),t(nt,P_),t(nt,Cs),t(Cs,H_),t(nt,L_),t(nt,Fs),t(Fs,lo),t(lo,B_),t(nt,S_),t(nt,Ms),t(Ms,no),t(no,Is),t(c,G_),t(c,it),t(it,Ps),t(Ps,io),t(io,N_),t(it,O_),t(it,Hs),t(Hs,x_),t(it,z_),t(it,Ls),t(Ls,so),t(so,V_),t(it,q_),t(it,Bs),t(Bs,ho),t(ho,Ss),t(c,Q_),t(c,st),t(st,Gs),t(Gs,co),t(co,j_),t(st,W_),t(st,Ns),t(Ns,U_),t(st,$_),t(st,Os),t(Os,fo),t(fo,K_),t(st,Y_),t(st,xs),t(xs,go),t(go,zs),t(c,X_),t(c,ht),t(ht,Vs),t(Vs,uo),t(uo,J_),t(ht,Z_),t(ht,Pt),t(Pt,tb),t(Pt,$h),t($h,eb),t(Pt,ab),t(ht,rb),t(ht,qs),t(qs,mo),t(mo,ob),t(ht,lb),t(ht,Qs),t(Qs,_o),t(_o,js),t(c,nb),t(c,ct),t(ct,Ws),t(Ws,bo),t(bo,ib),t(ct,sb),t(ct,Ht),t(Ht,hb),t(Ht,Kh),t(Kh,cb),t(Ht,fb),t(ct,gb),t(ct,Us),t(Us,vo),t(vo,db),t(ct,ub),t(ct,$s),t($s,po),t(po,Ks),t(c,mb),t(c,ft),t(ft,Ys),t(Ys,Eo),t(Eo,_b),t(ft,bb),t(ft,Lt),t(Lt,vb),t(Lt,Yh),t(Yh,pb),t(Lt,Eb),t(ft,Tb),t(ft,Xs),t(Xs,To),t(To,wb),t(ft,Db),t(ft,Js),t(Js,wo),t(wo,Zs),t(c,yb),t(c,gt),t(gt,th),t(th,Do),t(Do,Ab),t(gt,kb),t(gt,Bt),t(Bt,Rb),t(Bt,Xh),t(Xh,Cb),t(Bt,Fb),t(gt,Mb),t(gt,eh),t(eh,yo),t(yo,Ib),t(gt,Pb),t(gt,ah),t(ah,Ao),t(Ao,rh),t(c,Hb),t(c,dt),t(dt,oh),t(oh,ko),t(ko,Lb),t(dt,Bb),t(dt,lh),t(lh,Sb),t(dt,Gb),t(dt,nh),t(nh,Ro),t(Ro,Nb),t(dt,Ob),t(dt,ih),t(ih,Co),t(Co,sh),t(c,xb),t(c,ut),t(ut,hh),t(hh,Fo),t(Fo,zb),t(ut,Vb),t(ut,St),t(St,qb),t(St,Jh),t(Jh,Qb),t(St,jb),t(ut,Wb),t(ut,ch),t(ch,Mo),t(Mo,Ub),t(ut,$b),t(ut,fh),t(fh,Io),t(Io,gh),t(c,Kb),t(c,mt),t(mt,dh),t(dh,Po),t(Po,Yb),t(mt,Xb),t(mt,Gt),t(Gt,Jb),t(Gt,Zh),t(Zh,Zb),t(Gt,t1),t(mt,e1),t(mt,uh),t(uh,Ho),t(Ho,a1),t(mt,r1),t(mt,mh),t(mh,Lo),t(Lo,_h),t(c,o1),t(c,_t),t(_t,bh),t(bh,Bo),t(Bo,l1),t(_t,n1),t(_t,Nt),t(Nt,i1),t(Nt,tc),t(tc,s1),t(Nt,h1),t(_t,c1),t(_t,vh),t(vh,So),t(So,f1),t(_t,g1),t(_t,ph),t(ph,Go),t(Go,Eh),nc=!0},p:ID,i(d){nc||(b1(Ne.$$.fragment,d),b1(Oe.$$.fragment,d),b1(Qe.$$.fragment,d),nc=!0)},o(d){v1(Ne.$$.fragment,d),v1(Oe.$$.fragment,d),v1(Qe.$$.fragment,d),nc=!1},d(d){o(bt),d&&o(No),d&&o(m),p1(Ne),d&&o(ec),d&&o(Oo),d&&o(ac),d&&o(wt),p1(Oe),d&&o(rc),d&&o(Rt),d&&o(oc),d&&o(At),p1(Qe),d&&o(lc),d&&o(Ft)}}}const HD={local:"community",sections:[{local:"community-resources",title:"Community resources:"},{local:"community-notebooks",title:"Community notebooks:"}],title:"Community"};function LD(Tc,bt,No){let{fw:m}=bt;return Tc.$$set=v=>{"fw"in v&&No(0,m=v.fw)},[m]}class GD extends RD{constructor(bt){super();CD(this,bt,LD,PD,FD,{fw:0})}}export{GD as default,HD as metadata};
