import{S as Rp,i as Vp,s as Fp,e as r,k as c,w as U,t as s,M as Lp,c as a,d as l,m as h,a as o,x as j,h as i,b as n,G as t,g as p,y as A,q as E,o as $,B as b,v as Bp,L as eo}from"../chunks/vendor-hf-doc-builder.js";import{I as te}from"../chunks/IconCopyLink-hf-doc-builder.js";import{C as z}from"../chunks/CodeBlock-hf-doc-builder.js";import{F as Gp,M as to}from"../chunks/Markdown-hf-doc-builder.js";function Yp(S){let m,y,u,d,I,J,V,F,g,L,X,W,T,N,R,C,B,v,w,x;return w=new z({props:{code:"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",highlighted:`python examples/pytorch/summarization/run_summarization.py \\
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --overwrite_output_dir \\
    --predict_with_generate`}}),{c(){m=r("p"),y=s("\uC608\uC81C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \u{1F917} "),u=r("a"),d=s("Datasets"),I=s(` \uB77C\uC774\uBE0C\uB7EC\uB9AC\uC5D0\uC11C \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uB2E4\uC6B4\uB85C\uB4DC\uD558\uACE0 \uC804\uCC98\uB9AC\uD569\uB2C8\uB2E4.
\uADF8\uB7F0 \uB2E4\uC74C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \uC694\uC57D \uAE30\uB2A5\uC744 \uC9C0\uC6D0\uD558\uB294 \uC544\uD0A4\uD14D\uCC98\uC5D0\uC11C `),J=r("a"),V=s("Trainer"),F=s(`\uB97C \uC0AC\uC6A9\uD558\uC5EC \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
\uB2E4\uC74C \uC608\uB294 `),g=r("a"),L=s("CNN/DailyMail"),X=s(" \uB370\uC774\uD130 \uC138\uD2B8\uC5D0\uC11C "),W=r("a"),T=s("T5-small"),N=s(`\uC744 \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
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\uADF8\uB7F0 \uB2E4\uC74C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \uC694\uC57D \uAE30\uB2A5\uC744 \uC9C0\uC6D0\uD558\uB294 \uC544\uD0A4\uD14D\uCC98\uC5D0\uC11C `),J=a(Z,"A",{href:!0,rel:!0});var _t=o(J);V=i(_t,"Trainer"),_t.forEach(l),F=i(Z,`\uB97C \uC0AC\uC6A9\uD558\uC5EC \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
\uB2E4\uC74C \uC608\uB294 `),g=a(Z,"A",{href:!0,rel:!0});var P=o(g);L=i(P,"CNN/DailyMail"),P.forEach(l),X=i(Z," \uB370\uC774\uD130 \uC138\uD2B8\uC5D0\uC11C "),W=a(Z,"A",{href:!0,rel:!0});var dt=o(W);T=i(dt,"T5-small"),dt.forEach(l),N=i(Z,`\uC744 \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
T5 \uBAA8\uB378\uC740 \uD6C8\uB828 \uBC29\uC2DD\uC5D0 \uB530\uB77C \uCD94\uAC00 `),R=a(Z,"CODE",{});var wt=o(R);C=i(wt,"source_prefix"),wt.forEach(l),B=i(Z," \uC778\uC218\uAC00 \uD544\uC694\uD558\uBA70, \uC774 \uD504\uB86C\uD504\uD2B8\uB294 \uC694\uC57D \uC791\uC5C5\uC784\uC744 T5\uC5D0 \uC54C\uB824\uC90D\uB2C8\uB2E4."),Z.forEach(l),v=h(G),j(w.$$.fragment,G),this.h()},h(){n(u,"href","https://huggingface.co/docs/datasets/"),n(u,"rel","nofollow"),n(J,"href","https://huggingface.co/docs/transformers/main_classes/trainer"),n(J,"rel","nofollow"),n(g,"href","https://huggingface.co/datasets/cnn_dailymail"),n(g,"rel","nofollow"),n(W,"href","https://huggingface.co/t5-small"),n(W,"rel","nofollow")},m(G,Z){p(G,m,Z),t(m,y),t(m,u),t(u,d),t(m,I),t(m,J),t(J,V),t(m,F),t(m,g),t(g,L),t(m,X),t(m,W),t(W,T),t(m,N),t(m,R),t(R,C),t(m,B),p(G,v,Z),A(w,G,Z),x=!0},p:eo,i(G){x||(E(w.$$.fragment,G),x=!0)},o(G){$(w.$$.fragment,G),x=!1},d(G){G&&l(m),G&&l(v),b(w,G)}}}function zp(S){let m,y;return m=new to({props:{$$slots:{default:[Yp]},$$scope:{ctx:S}}}),{c(){U(m.$$.fragment)},l(u){j(m.$$.fragment,u)},m(u,d){A(m,u,d),y=!0},p(u,d){const I={};d&2&&(I.$$scope={dirty:d,ctx:u}),m.$set(I)},i(u){y||(E(m.$$.fragment,u),y=!0)},o(u){$(m.$$.fragment,u),y=!1},d(u){b(m,u)}}}function Sp(S){let m,y,u,d,I,J,V,F,g,L,X,W,T,N,R,C,B;return C=new z({props:{code:"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",highlighted:`python examples/tensorflow/summarization/run_summarization.py  \\
    --model_name_or_path t5-small \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --output_dir /tmp/tst-summarization  \\
    --per_device_train_batch_size 8 \\
    --per_device_eval_batch_size 16 \\
    --num_train_epochs 3 \\
    --do_train \\
    --do_eval`}}),{c(){m=r("p"),y=s("\uC608\uC81C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \u{1F917} "),u=r("a"),d=s("Datasets"),I=s(` \uB77C\uC774\uBE0C\uB7EC\uB9AC\uC5D0\uC11C \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uB2E4\uC6B4\uB85C\uB4DC\uD558\uACE0 \uC804\uCC98\uB9AC\uD569\uB2C8\uB2E4.
\uADF8\uB7F0 \uB2E4\uC74C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \uC694\uC57D \uAE30\uB2A5\uC744 \uC9C0\uC6D0\uD558\uB294 \uC544\uD0A4\uD14D\uCC98\uC5D0\uC11C Keras\uB97C \uC0AC\uC6A9\uD558\uC5EC \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
\uB2E4\uC74C \uC608\uB294 `),J=r("a"),V=s("CNN/DailyMail"),F=s(" \uB370\uC774\uD130 \uC138\uD2B8\uC5D0\uC11C "),g=r("a"),L=s("T5-small"),X=s(`\uC744 \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
T5 \uBAA8\uB378\uC740 \uD6C8\uB828 \uBC29\uC2DD\uC5D0 \uB530\uB77C \uCD94\uAC00 `),W=r("code"),T=s("source_prefix"),N=s(" \uC778\uC218\uAC00 \uD544\uC694\uD558\uBA70, \uC774 \uD504\uB86C\uD504\uD2B8\uB294 \uC694\uC57D \uC791\uC5C5\uC784\uC744 T5\uC5D0 \uC54C\uB824\uC90D\uB2C8\uB2E4."),R=c(),U(C.$$.fragment),this.h()},l(v){m=a(v,"P",{});var w=o(m);y=i(w,"\uC608\uC81C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \u{1F917} "),u=a(w,"A",{href:!0,rel:!0});var x=o(u);d=i(x,"Datasets"),x.forEach(l),I=i(w,` \uB77C\uC774\uBE0C\uB7EC\uB9AC\uC5D0\uC11C \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uB2E4\uC6B4\uB85C\uB4DC\uD558\uACE0 \uC804\uCC98\uB9AC\uD569\uB2C8\uB2E4.
\uADF8\uB7F0 \uB2E4\uC74C \uC2A4\uD06C\uB9BD\uD2B8\uB294 \uC694\uC57D \uAE30\uB2A5\uC744 \uC9C0\uC6D0\uD558\uB294 \uC544\uD0A4\uD14D\uCC98\uC5D0\uC11C Keras\uB97C \uC0AC\uC6A9\uD558\uC5EC \uB370\uC774\uD130 \uC138\uD2B8\uB97C \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
\uB2E4\uC74C \uC608\uB294 `),J=a(w,"A",{href:!0,rel:!0});var G=o(J);V=i(G,"CNN/DailyMail"),G.forEach(l),F=i(w," \uB370\uC774\uD130 \uC138\uD2B8\uC5D0\uC11C "),g=a(w,"A",{href:!0,rel:!0});var Z=o(g);L=i(Z,"T5-small"),Z.forEach(l),X=i(w,`\uC744 \uBBF8\uC138 \uC870\uC815\uD569\uB2C8\uB2E4.
T5 \uBAA8\uB378\uC740 \uD6C8\uB828 \uBC29\uC2DD\uC5D0 \uB530\uB77C \uCD94\uAC00 `),W=a(w,"CODE",{});var Y=o(W);T=i(Y,"source_prefix"),Y.forEach(l),N=i(w," \uC778\uC218\uAC00 \uD544\uC694\uD558\uBA70, \uC774 \uD504\uB86C\uD504\uD2B8\uB294 \uC694\uC57D \uC791\uC5C5\uC784\uC744 T5\uC5D0 \uC54C\uB824\uC90D\uB2C8\uB2E4."),w.forEach(l),R=h(v),j(C.$$.fragment,v),this.h()},h(){n(u,"href","https://huggingface.co/docs/datasets/"),n(u,"rel","nofollow"),n(J,"href","https://huggingface.co/datasets/cnn_dailymail"),n(J,"rel","nofollow"),n(g,"href","https://huggingface.co/t5-small"),n(g,"rel","nofollow")},m(v,w){p(v,m,w),t(m,y),t(m,u),t(u,d),t(m,I),t(m,J),t(J,V),t(m,F),t(m,g),t(g,L),t(m,X),t(m,W),t(W,T),t(m,N),p(v,R,w),A(C,v,w),B=!0},p:eo,i(v){B||(E(C.$$.fragment,v),B=!0)},o(v){$(C.$$.fragment,v),B=!1},d(v){v&&l(m),v&&l(R),b(C,v)}}}function xp(S){let m,y;return m=new to({props:{$$slots:{default:[Sp]},$$scope:{ctx:S}}}),{c(){U(m.$$.fragment)},l(u){j(m.$$.fragment,u)},m(u,d){A(m,u,d),y=!0},p(u,d){const I={};d&2&&(I.$$scope={dirty:d,ctx:u}),m.$set(I)},i(u){y||(E(m.$$.fragment,u),y=!0)},o(u){$(m.$$.fragment,u),y=!1},d(u){b(m,u)}}}function kp(S){let m,y,u,d,I,J,V,F,g,L,X,W,T,N,R,C,B;return C=new z({props:{code:"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",highlighted:`python xla_spawn.py --num_cores 8 \\
    summarization/run_summarization.py \\
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --overwrite_output_dir \\
    --predict_with_generate`}}),{c(){m=r("p"),y=s(`Tensor Processing Units (TPUs)\uB294 \uC131\uB2A5\uC744 \uAC00\uC18D\uD654\uD558\uAE30 \uC704\uD574 \uD2B9\uBCC4\uD788 \uC124\uACC4\uB418\uC5C8\uC2B5\uB2C8\uB2E4.
PyTorch\uB294 `),u=r("a"),d=s("XLA"),I=s(" \uB525\uB7EC\uB2DD \uCEF4\uD30C\uC77C\uB7EC\uC640 \uD568\uAED8 TPU\uB97C \uC9C0\uC6D0\uD569\uB2C8\uB2E4(\uC790\uC138\uD55C \uB0B4\uC6A9\uC740 "),J=r("a"),V=s("\uC5EC\uAE30"),F=s(` \uCC38\uC870).
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PyTorch\uB294 `),u=a(w,"A",{href:!0,rel:!0});var x=o(u);d=i(x,"XLA"),x.forEach(l),I=i(w," \uB525\uB7EC\uB2DD \uCEF4\uD30C\uC77C\uB7EC\uC640 \uD568\uAED8 TPU\uB97C \uC9C0\uC6D0\uD569\uB2C8\uB2E4(\uC790\uC138\uD55C \uB0B4\uC6A9\uC740 "),J=a(w,"A",{href:!0,rel:!0});var G=o(J);V=i(G,"\uC5EC\uAE30"),G.forEach(l),F=i(w,` \uCC38\uC870).
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    --model_name_or_path t5-small \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --output_dir /tmp/tst-summarization  \\
    --per_device_train_batch_size 8 \\
    --per_device_eval_batch_size 16 \\
    --num_train_epochs 3 \\
    --do_train \\
    --do_eval`}}),{c(){m=r("p"),y=s(`Tensor Processing Units (TPUs)\uB294 \uC131\uB2A5\uC744 \uAC00\uC18D\uD654\uD558\uAE30 \uC704\uD574 \uD2B9\uBCC4\uD788 \uC124\uACC4\uB418\uC5C8\uC2B5\uB2C8\uB2E4.
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TensorFlow \uC2A4\uD06C\uB9BD\uD2B8\uB294 TPU\uB97C \uD6C8\uB828\uC5D0 \uC0AC\uC6A9\uD558\uAE30 \uC704\uD574 `),u=a(N,"A",{href:!0,rel:!0});var R=o(u);d=a(R,"CODE",{});var C=o(d);I=i(C,"TPUStrategy"),C.forEach(l),R.forEach(l),J=i(N,`\uB97C \uD65C\uC6A9\uD569\uB2C8\uB2E4.
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pip install .`}}),Be=new z({props:{code:"Z2l0JTIwY2hlY2tvdXQlMjB0YWdzJTJGdjMuNS4x",highlighted:"git checkout tags/v3.5.1"}}),Ye=new z({props:{code:"cGlwJTIwaW5zdGFsbCUyMC1yJTIwcmVxdWlyZW1lbnRzLnR4dA==",highlighted:"pip install -r requirements.txt"}}),ze=new te({}),Me=new Gp({props:{pytorch:!0,tensorflow:!0,jax:!1,$$slots:{tensorflow:[xp],pytorch:[zp]},$$scope:{ctx:S}}}),Se=new te({}),Qe=new z({props:{code:"cHl0aG9uJTIwLW0lMjB0b3JjaC5kaXN0cmlidXRlZC5sYXVuY2glMjAlNUMlMEElMjAlMjAlMjAlMjAtLW5wcm9jX3Blcl9ub2RlJTIwOCUyMHB5dG9yY2glMkZzdW1tYXJpemF0aW9uJTJGcnVuX3N1bW1hcml6YXRpb24ucHklMjAlNUMlMEElMjAlMjAlMjAlMjAtLWZwMTYlMjAlNUMlMEElMjAlMjAlMjAlMjAtLW1vZGVsX25hbWVfb3JfcGF0aCUyMHQ1LXNtYWxsJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1kb190cmFpbiUyMCU1QyUwQSUyMCUyMCUyMCUyMC0tZG9fZXZhbCUyMCU1QyUwQSUyMCUyMCUyMCUyMC0tZGF0YXNldF9uYW1lJTIwY25uX2RhaWx5bWFpbCUyMCU1QyUwQSUyMCUyMCUyMCUyMC0tZGF0YXNldF9jb25maWclMjAlMjIzLjAuMCUyMiUyMCU1QyUwQSUyMCUyMCUyMCUyMC0tc291cmNlX3ByZWZpeCUyMCUyMnN1bW1hcml6ZSUzQSUyMCUyMiUyMCU1QyUwQSUyMCUyMCUyMCUyMC0tb3V0cHV0X2RpciUyMCUyRnRtcCUyRnRzdC1zdW1tYXJpemF0aW9uJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1wZXJfZGV2aWNlX3RyYWluX2JhdGNoX3NpemUlM0Q0JTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1wZXJfZGV2aWNlX2V2YWxfYmF0Y2hfc2l6ZSUzRDQlMjAlNUMlMEElMjAlMjAlMjAlMjAtLW92ZXJ3cml0ZV9vdXRwdXRfZGlyJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1wcmVkaWN0X3dpdGhfZ2VuZXJhdGU=",highlighted:`python -m torch.distributed.launch \\
    --nproc_per_node 8 pytorch/summarization/run_summarization.py \\
    --fp16 \\
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --overwrite_output_dir \\
    --predict_with_generate`}}),He=new te({}),ve=new Gp({props:{pytorch:!0,tensorflow:!0,jax:!1,$$slots:{tensorflow:[Hp],pytorch:[Qp]},$$scope:{ctx:S}}}),De=new te({}),Oe=new z({props:{code:"cGlwJTIwaW5zdGFsbCUyMGdpdCUyQmh0dHBzJTNBJTJGJTJGZ2l0aHViLmNvbSUyRmh1Z2dpbmdmYWNlJTJGYWNjZWxlcmF0ZQ==",highlighted:"pip install git+https://github.com/huggingface/accelerate"}}),Ke=new z({props:{code:"YWNjZWxlcmF0ZSUyMGNvbmZpZw==",highlighted:"accelerate config"}}),et=new z({props:{code:"YWNjZWxlcmF0ZSUyMHRlc3Q=",highlighted:'accelerate <span class="hljs-built_in">test</span>'}}),tt=new z({props:{code:"YWNjZWxlcmF0ZSUyMGxhdW5jaCUyMHJ1bl9zdW1tYXJpemF0aW9uX25vX3RyYWluZXIucHklMjAlNUMlMEElMjAlMjAlMjAlMjAtLW1vZGVsX25hbWVfb3JfcGF0aCUyMHQ1LXNtYWxsJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1kYXRhc2V0X25hbWUlMjBjbm5fZGFpbHltYWlsJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1kYXRhc2V0X2NvbmZpZyUyMCUyMjMuMC4wJTIyJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1zb3VyY2VfcHJlZml4JTIwJTIyc3VtbWFyaXplJTNBJTIwJTIyJTIwJTVDJTBBJTIwJTIwJTIwJTIwLS1vdXRwdXRfZGlyJTIwfiUyRnRtcCUyRnRzdC1zdW1tYXJpemF0aW9u",highlighted:`accelerate launch run_summarization_no_trainer.py \\
    --model_name_or_path t5-small \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir ~/tmp/tst-summarization`}}),lt=new te({}),rt=new z({props:{code:"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",highlighted:`python examples/pytorch/summarization/run_summarization.py \\
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
    --train_file path_to_csv_or_jsonlines_file \\
    --validation_file path_to_csv_or_jsonlines_file \\
    --text_column text_column_name \\
    --summary_column summary_column_name \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
    --overwrite_output_dir \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --predict_with_generate`}}),at=new te({}),ot=new z({props:{code:"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",highlighted:`python examples/pytorch/summarization/run_summarization.py \\
    --model_name_or_path t5-small \\
    --max_train_samples 50 \\
    --max_eval_samples 50 \\
    --max_predict_samples 50 \\
    --do_train \\
    --do_eval \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --overwrite_output_dir \\
    --predict_with_generate`}}),st=new z({props:{code:"ZXhhbXBsZXMlMkZweXRvcmNoJTJGc3VtbWFyaXphdGlvbiUyRnJ1bl9zdW1tYXJpemF0aW9uLnB5JTIwLWg=",highlighted:"examples/pytorch/summarization/run_summarization.py -h"}}),it=new te({}),ft=new z({props:{code:"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",highlighted:`python examples/pytorch/summarization/run_summarization.py
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
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    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
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    --per_device_eval_batch_size=4 \\
    --output_dir previous_output_dir \\
    --predict_with_generate`}}),nt=new z({props:{code:"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",highlighted:`python examples/pytorch/summarization/run_summarization.py
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --output_dir /tmp/tst-summarization \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --overwrite_output_dir \\
    --resume_from_checkpoint path_to_specific_checkpoint \\
    --predict_with_generate`}}),pt=new te({}),ht=new z({props:{code:"aHVnZ2luZ2ZhY2UtY2xpJTIwbG9naW4=",highlighted:"huggingface-cli login"}}),mt=new z({props:{code:"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",highlighted:`python examples/pytorch/summarization/run_summarization.py
    --model_name_or_path t5-small \\
    --do_train \\
    --do_eval \\
    --dataset_name cnn_dailymail \\
    --dataset_config <span class="hljs-string">&quot;3.0.0&quot;</span> \\
    --source_prefix <span class="hljs-string">&quot;summarize: &quot;</span> \\
    --push_to_hub \\
    --push_to_hub_model_id finetuned-t5-cnn_dailymail \\
    --output_dir /tmp/tst-summarization \\
    --per_device_train_batch_size=4 \\
    --per_device_eval_batch_size=4 \\
    --overwrite_output_dir \\
    --predict_with_generate`}}),{c(){m=r("meta"),y=c(),u=r("h1"),d=r("a"),I=r("span"),U(J.$$.fragment),V=c(),F=r("span"),g=s("\uC2A4\uD06C\uB9BD\uD2B8\uB85C \uC2E4\uD589\uD558\uAE30"),L=c(),X=r("p"),W=s("\u{1F917} Transformers \uB178\uD2B8\uBD81\uACFC \uD568\uAED8 "),T=r("a"),N=s("PyTorch"),R=s(", "),C=r("a"),B=s("TensorFlow"),v=s(", \uB610\uB294 "),w=r("a"),x=s("JAX/Flax"),G=s("\uB97C \uC0AC\uC6A9\uD574 \uD2B9\uC815 \uD0DC\uC2A4\uD06C\uC5D0 \uB300\uD55C \uBAA8\uB378\uC744 \uD6C8\uB828\uD558\uB294 \uBC29\uBC95\uC744 \uBCF4\uC5EC\uC8FC\uB294 \uC608\uC81C \uC2A4\uD06C\uB9BD\uD2B8\uB3C4 \uC788\uC2B5\uB2C8\uB2E4."),Z=c(),Y=r("p"),_t=s("\uB610\uD55C "),P=r("a"),dt=s("\uC5F0\uAD6C \uD504\uB85C\uC81D\uD2B8"),wt=s(" \uBC0F "),Ze=r("a"),lo=s("\uB808\uAC70\uC2DC \uC608\uC81C"),ro=s(`\uC5D0\uC11C \uB300\uBD80\uBD84 \uCEE4\uBBA4\uB2C8\uD2F0\uC5D0\uC11C \uC81C\uACF5\uD55C \uC2A4\uD06C\uB9BD\uD2B8\uB97C \uCC3E\uC744 \uC218 \uC788\uC2B5\uB2C8\uB2E4.
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