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card."),h(ee,"width","100%"),h(V,"class","flex justify-center")},m(T,x){s(T,c,x),o(c,_),o(_,n),o(c,$),o(c,k),o(k,q),o(c,F),o(c,y),o(y,C),o(c,A),s(T,z,x),P(d,T,x),s(T,E,x),s(T,b,x),o(b,O),o(O,R),o(b,L),o(b,S),o(S,K),o(b,Z),o(b,W),o(W,B),o(b,Q),o(b,te),o(te,_e),o(b,ae),s(T,J,x),s(T,U,x),o(U,oe),o(U,fe),o(fe,de),o(U,ne),s(T,G,x),s(T,N,x),o(N,he),o(N,le),o(le,Y),o(N,$e),s(T,X,x),s(T,V,x),o(V,ee),be=!0},i(T){be||(v(d.$$.fragment,T),be=!0)},o(T){g(d.$$.fragment,T),be=!1},d(T){T&&t(c),T&&t(z),D(d,T),T&&t(E),T&&t(b),T&&t(J),T&&t(U),T&&t(G),T&&t(N),T&&t(X),T&&t(V)}}}function B_(M){let c,_;return c=new I({props:{code:`from transformers import TFAutoModelForMaskedLM, AutoTokenizer

checkpoint = "camembert-base"

model = TFAutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> TFAutoModelForMaskedLM, AutoTokenizer

checkpoint = <span class="hljs-string">&quot;camembert-base&quot;</span>

model = TFAutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)`}}),{c(){w(c.$$.fragment)},l(n){j(c.$$.fragment,n)},m(n,$){P(c,n,$),_=!0},i(n){_||(v(c.$$.fragment,n),_=!0)},o(n){g(c.$$.fragment,n),_=!1},d(n){D(c,n)}}}function H_(M){let c,_;return c=new I({props:{code:`from transformers import AutoModelForMaskedLM, AutoTokenizer

checkpoint = "camembert-base"

model = AutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> AutoModelForMaskedLM, AutoTokenizer

checkpoint = <span class="hljs-string">&quot;camembert-base&quot;</span>

model = AutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)`}}),{c(){w(c.$$.fragment)},l(n){j(c.$$.fragment,n)},m(n,$){P(c,n,$),_=!0},i(n){_||(v(c.$$.fragment,n),_=!0)},o(n){g(c.$$.fragment,n),_=!1},d(n){D(c,n)}}}function U_(M){let c,_,n;return{c(){c=f("div"),_=f("img"),this.h()},l($){c=p($,"DIV",{class:!0});var k=a(c);_=p(k,"IMG",{src:!0,alt:!0,width:!0}),k.forEach(t),this.h()},h(){Fe(_.src,n="https://huggingface.co/datasets/huggingface-course/documentation-images/resolve/main/en/chapter4/push_to_hub_dummy_model_tf.png")||h(_,"src",n),h(_,"alt","Dummy model containing both the tokenizer and model files."),h(_,"width","80%"),h(c,"class","flex justify-center")},m($,k){s($,c,k),o(c,_)},d($){$&&t(c)}}}function V_(M){let c,_,n;return{c(){c=f("div"),_=f("img"),this.h()},l($){c=p($,"DIV",{class:!0});var k=a(c);_=p(k,"IMG",{src:!0,alt:!0,width:!0}),k.forEach(t),this.h()},h(){Fe(_.src,n="https://huggingface.co/datasets/huggingface-course/documentation-images/resolve/main/en/chapter4/push_to_hub_dummy_model.png")||h(_,"src",n),h(_,"alt","Dummy model containing both the tokenizer and model files."),h(_,"width","80%"),h(c,"class","flex justify-center")},m($,k){s($,c,k),o(c,_)},d($){$&&t(c)}}}function Y_(M){let c,_,n,$,k,q,F,y,C,A,z;return{c(){c=f("p"),_=l("\u270F\uFE0F "),n=f("strong"),$=l("\u3084\u3063\u3066\u307F\u3088\u3046\uFF01"),k=m(),q=f("code"),F=l("bert-base-cased"),y=l("\u30C1\u30A7\u30C3\u30AF\u30DD\u30A4\u30F3\u30C8\u306B\u95A2\u9023\u4ED8\u3051\u3089\u308C\u305F\u30E2\u30C7\u30EB\u3068\u30C8\u30FC\u30AF\u30CA\u30A4\u30B6\u30FC\u3092\u3001"),C=f("code"),A=l("push_to_hub()"),z=l("\u30E1\u30BD\u30C3\u30C9\u3092\u4F7F\u3063\u3066\u81EA\u5206\u306E\u30CD\u30FC\u30E0\u30B9\u30DA\u30FC\u30B9\u306B\u3042\u308B\u30EA\u30DD\u30B8\u30C8\u30EA\u306B\u30A2\u30C3\u30D7\u30ED\u30FC\u30C9\u3057\u307E\u3059\u3002\u30EC\u30DD\u30B8\u30C8\u30EA\u3092\u524A\u9664\u3059\u308B\u524D\u306B\u3001\u30EC\u30DD\u30B8\u30C8\u30EA\u304C\u3042\u306A\u305F\u306E\u30DA\u30FC\u30B8\u306B\u6B63\u3057\u304F\u8868\u793A\u3055\u308C\u308B\u3053\u3068\u3092\u78BA\u8A8D\u3057\u3066\u304F\u3060\u3055\u3044\u3002")},l(d){c=p(d,"P",{});var E=a(c);_=r(E,"\u270F\uFE0F "),n=p(E,"STRONG",{});var b=a(n);$=r(b,"\u3084\u3063\u3066\u307F\u3088\u3046\uFF01"),b.forEach(t),k=u(E),q=p(E,"CODE",{});var O=a(q);F=r(O,"bert-base-cased"),O.forEach(t),y=r(E,"\u30C1\u30A7\u30C3\u30AF\u30DD\u30A4\u30F3\u30C8\u306B\u95A2\u9023\u4ED8\u3051\u3089\u308C\u305F\u30E2\u30C7\u30EB\u3068\u30C8\u30FC\u30AF\u30CA\u30A4\u30B6\u30FC\u3092\u3001"),C=p(E,"CODE",{});var R=a(C);A=r(R,"push_to_hub()"),R.forEach(t),z=r(E,"\u30E1\u30BD\u30C3\u30C9\u3092\u4F7F\u3063\u3066\u81EA\u5206\u306E\u30CD\u30FC\u30E0\u30B9\u30DA\u30FC\u30B9\u306B\u3042\u308B\u30EA\u30DD\u30B8\u30C8\u30EA\u306B\u30A2\u30C3\u30D7\u30ED\u30FC\u30C9\u3057\u307E\u3059\u3002\u30EC\u30DD\u30B8\u30C8\u30EA\u3092\u524A\u9664\u3059\u308B\u524D\u306B\u3001\u30EC\u30DD\u30B8\u30C8\u30EA\u304C\u3042\u306A\u305F\u306E\u30DA\u30FC\u30B8\u306B\u6B63\u3057\u304F\u8868\u793A\u3055\u308C\u308B\u3053\u3068\u3092\u78BA\u8A8D\u3057\u3066\u304F\u3060\u3055\u3044\u3002"),E.forEach(t)},m(d,E){s(d,c,E),o(c,_),o(c,n),o(n,$),o(c,k),o(c,q),o(q,F),o(c,y),o(c,C),o(C,A),o(c,z)},d(d){d&&t(c)}}}function K_(M){let c,_;return c=new I({props:{code:`from transformers import TFAutoModelForMaskedLM, AutoTokenizer

checkpoint = "camembert-base"

model = TFAutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)

# \u30E2\u30C7\u30EB\u3092\u4F7F\u3063\u3066\u3001\u30C8\u30EC\u30FC\u30CB\u30F3\u30B0\u3057\u305F\u308A\u3001\u5FAE\u8ABF\u6574\u3057\u305F\u308A...\u3002

model.save_pretrained("<path_to_dummy_folder>")
tokenizer.save_pretrained("<path_to_dummy_folder>")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> TFAutoModelForMaskedLM, AutoTokenizer

checkpoint = <span class="hljs-string">&quot;camembert-base&quot;</span>

model = TFAutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)

<span class="hljs-comment"># \u30E2\u30C7\u30EB\u3092\u4F7F\u3063\u3066\u3001\u30C8\u30EC\u30FC\u30CB\u30F3\u30B0\u3057\u305F\u308A\u3001\u5FAE\u8ABF\u6574\u3057\u305F\u308A...\u3002</span>

model.save_pretrained(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>)
tokenizer.save_pretrained(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>)`}}),{c(){w(c.$$.fragment)},l(n){j(c.$$.fragment,n)},m(n,$){P(c,n,$),_=!0},i(n){_||(v(c.$$.fragment,n),_=!0)},o(n){g(c.$$.fragment,n),_=!1},d(n){D(c,n)}}}function W_(M){let c,_;return c=new I({props:{code:`from transformers import AutoModelForMaskedLM, AutoTokenizer

checkpoint = "camembert-base"

model = AutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)

# \u30E2\u30C7\u30EB\u3092\u4F7F\u3063\u3066\u3001\u30C8\u30EC\u30FC\u30CB\u30F3\u30B0\u3057\u305F\u308A\u3001\u5FAE\u8ABF\u6574\u3057\u305F\u308A...\u3002

model.save_pretrained("<path_to_dummy_folder>")
tokenizer.save_pretrained("<path_to_dummy_folder>")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> AutoModelForMaskedLM, AutoTokenizer

checkpoint = <span class="hljs-string">&quot;camembert-base&quot;</span>

model = AutoModelForMaskedLM.from_pretrained(checkpoint)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)

<span class="hljs-comment"># \u30E2\u30C7\u30EB\u3092\u4F7F\u3063\u3066\u3001\u30C8\u30EC\u30FC\u30CB\u30F3\u30B0\u3057\u305F\u308A\u3001\u5FAE\u8ABF\u6574\u3057\u305F\u308A...\u3002</span>

model.save_pretrained(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>)
tokenizer.save_pretrained(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>)`}}),{c(){w(c.$$.fragment)},l(n){j(c.$$.fragment,n)},m(n,$){P(c,n,$),_=!0},i(n){_||(v(c.$$.fragment,n),_=!0)},o(n){g(c.$$.fragment,n),_=!1},d(n){D(c,n)}}}function J_(M){let c,_,n,$,k,q,F,y,C,A,z;return c=new I({props:{code:"config.json  README.md  sentencepiece.bpe.model  special_tokens_map.json  tf_model.h5  tokenizer_config.json  tokenizer.json",highlighted:"config.json  README.md  sentencepiece.bpe.model  special_tokens_map.json  tf_model.h5  tokenizer_config.json  tokenizer.json"}}),{c(){w(c.$$.fragment),_=m(),n=f("p"),$=l("\u30D5\u30A1\u30A4\u30EB\u30B5\u30A4\u30BA\u3092\u898B\u308B\u3068\uFF08\u305F\u3068\u3048\u3070 "),k=f("code"),q=l("ls -lh"),F=l(" \u3067\uFF09\u3001\u30E2\u30C7\u30EB\u72B6\u614B\u306E\u30C7\u30A3\u30AF\u30B7\u30E7\u30CA\u30EA\u30D5\u30A1\u30A4\u30EB ("),y=f("em"),C=l("t5_model.h5"),A=l(") \u304C\u552F\u4E00\u3001400 MB \u4EE5\u4E0A\u3042\u308B\u3053\u3068\u304C\u308F\u304B\u308B\u3068\u601D\u3044\u307E\u3059\u3002")},l(d){j(c.$$.fragment,d),_=u(d),n=p(d,"P",{});var E=a(n);$=r(E,"\u30D5\u30A1\u30A4\u30EB\u30B5\u30A4\u30BA\u3092\u898B\u308B\u3068\uFF08\u305F\u3068\u3048\u3070 "),k=p(E,"CODE",{});var b=a(k);q=r(b,"ls -lh"),b.forEach(t),F=r(E," \u3067\uFF09\u3001\u30E2\u30C7\u30EB\u72B6\u614B\u306E\u30C7\u30A3\u30AF\u30B7\u30E7\u30CA\u30EA\u30D5\u30A1\u30A4\u30EB ("),y=p(E,"EM",{});var O=a(y);C=r(O,"t5_model.h5"),O.forEach(t),A=r(E,") \u304C\u552F\u4E00\u3001400 MB \u4EE5\u4E0A\u3042\u308B\u3053\u3068\u304C\u308F\u304B\u308B\u3068\u601D\u3044\u307E\u3059\u3002"),E.forEach(t)},m(d,E){P(c,d,E),s(d,_,E),s(d,n,E),o(n,$),o(n,k),o(k,q),o(n,F),o(n,y),o(y,C),o(n,A),z=!0},i(d){z||(v(c.$$.fragment,d),z=!0)},o(d){g(c.$$.fragment,d),z=!1},d(d){D(c,d),d&&t(_),d&&t(n)}}}function X_(M){let c,_,n,$,k,q,F,y,C,A,z;return c=new I({props:{code:"config.json  pytorch_model.bin  README.md  sentencepiece.bpe.model  special_tokens_map.json tokenizer_config.json  tokenizer.json",highlighted:"config.json  pytorch_model.bin  README.md  sentencepiece.bpe.model  special_tokens_map.json tokenizer_config.json  tokenizer.json"}}),{c(){w(c.$$.fragment),_=m(),n=f("p"),$=l("\u30D5\u30A1\u30A4\u30EB\u30B5\u30A4\u30BA\u3092\u898B\u308B\u3068\uFF08\u305F\u3068\u3048\u3070 "),k=f("code"),q=l("ls -lh"),F=l(" \u3067\uFF09\u3001\u30E2\u30C7\u30EB\u72B6\u614B\u306E\u30C7\u30A3\u30AF\u30B7\u30E7\u30CA\u30EA\u30D5\u30A1\u30A4\u30EB ("),y=f("em"),C=l("pytorch_model.bin"),A=l(") \u304C\u552F\u4E00\u3001400 MB \u4EE5\u4E0A\u3042\u308B\u3053\u3068\u304C\u308F\u304B\u308B\u3068\u601D\u3044\u307E\u3059\u3002")},l(d){j(c.$$.fragment,d),_=u(d),n=p(d,"P",{});var E=a(n);$=r(E,"\u30D5\u30A1\u30A4\u30EB\u30B5\u30A4\u30BA\u3092\u898B\u308B\u3068\uFF08\u305F\u3068\u3048\u3070 "),k=p(E,"CODE",{});var b=a(k);q=r(b,"ls -lh"),b.forEach(t),F=r(E," \u3067\uFF09\u3001\u30E2\u30C7\u30EB\u72B6\u614B\u306E\u30C7\u30A3\u30AF\u30B7\u30E7\u30CA\u30EA\u30D5\u30A1\u30A4\u30EB ("),y=p(E,"EM",{});var O=a(y);C=r(O,"pytorch_model.bin"),O.forEach(t),A=r(E,") \u304C\u552F\u4E00\u3001400 MB \u4EE5\u4E0A\u3042\u308B\u3053\u3068\u304C\u308F\u304B\u308B\u3068\u601D\u3044\u307E\u3059\u3002"),E.forEach(t)},m(d,E){P(c,d,E),s(d,_,E),s(d,n,E),o(n,$),o(n,k),o(k,q),o(n,F),o(n,y),o(y,C),o(n,A),z=!0},i(d){z||(v(c.$$.fragment,d),z=!0)},o(d){g(c.$$.fragment,d),z=!1},d(d){D(c,d),d&&t(_),d&&t(n)}}}function Z_(M){let c;return{c(){c=l("\u270F\uFE0F \u30A6\u30A7\u30D6\u30A4\u30F3\u30BF\u30FC\u30D5\u30A7\u30FC\u30B9\u304B\u3089\u30EA\u30DD\u30B8\u30C8\u30EA\u3092\u4F5C\u6210\u3059\u308B\u5834\u5408\u3001*.gitattributes* \u30D5\u30A1\u30A4\u30EB\u306F\u81EA\u52D5\u7684\u306B *.bin* \u3084 *.h5* \u306A\u3069\u306E\u7279\u5B9A\u306E\u62E1\u5F35\u5B50\u3092\u6301\u3064\u30D5\u30A1\u30A4\u30EB\u3092\u5927\u304D\u306A\u30D5\u30A1\u30A4\u30EB\u3068\u307F\u306A\u3059\u3088\u3046\u306B\u8A2D\u5B9A\u3055\u308C\u3001git-lfs \u304C\u305D\u308C\u3089\u3092\u8FFD\u8DE1\u3059\u308B\u3088\u3046\u306B\u306A\u308A\u307E\u3059\u3002\u30E6\u30FC\u30B6\u30FC\u5074\u3067\u5225\u9014\u8A2D\u5B9A\u3092\u884C\u3046\u5FC5\u8981\u306F\u3042\u308A\u307E\u305B\u3093\u3002")},l(_){c=r(_,"\u270F\uFE0F \u30A6\u30A7\u30D6\u30A4\u30F3\u30BF\u30FC\u30D5\u30A7\u30FC\u30B9\u304B\u3089\u30EA\u30DD\u30B8\u30C8\u30EA\u3092\u4F5C\u6210\u3059\u308B\u5834\u5408\u3001*.gitattributes* \u30D5\u30A1\u30A4\u30EB\u306F\u81EA\u52D5\u7684\u306B *.bin* \u3084 *.h5* \u306A\u3069\u306E\u7279\u5B9A\u306E\u62E1\u5F35\u5B50\u3092\u6301\u3064\u30D5\u30A1\u30A4\u30EB\u3092\u5927\u304D\u306A\u30D5\u30A1\u30A4\u30EB\u3068\u307F\u306A\u3059\u3088\u3046\u306B\u8A2D\u5B9A\u3055\u308C\u3001git-lfs \u304C\u305D\u308C\u3089\u3092\u8FFD\u8DE1\u3059\u308B\u3088\u3046\u306B\u306A\u308A\u307E\u3059\u3002\u30E6\u30FC\u30B6\u30FC\u5074\u3067\u5225\u9014\u8A2D\u5B9A\u3092\u884C\u3046\u5FC5\u8981\u306F\u3042\u308A\u307E\u305B\u3093\u3002")},m(_,n){s(_,c,n)},d(_){_&&t(c)}}}function Q_(M){let c,_;return c=new I({props:{code:`On branch main
Your branch is up to date with 'origin/main'.

Changes to be committed:
  (use "git restore --staged <file>..." to unstage)
  modified:   .gitattributes
  	new file:   config.json
	new file:   sentencepiece.bpe.model
	new file:   special_tokens_map.json
	new file:   tf_model.h5
	new file:   tokenizer.json
	new file:   tokenizer_config.json`,highlighted:`On branch main
Your branch is up to <span class="hljs-built_in">date</span> with <span class="hljs-string">&#x27;origin/main&#x27;</span>.

Changes to be committed:
  (use <span class="hljs-string">&quot;git restore --staged &lt;file&gt;...&quot;</span> to unstage)
  modified:   .gitattributes
  	new file:   config.json
	new file:   sentencepiece.bpe.model
	new file:   special_tokens_map.json
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    # \u30E6\u30FC\u30B6\u30FC\u7BA1\u7406
    login,
    logout,
    whoami,

    # \u30EC\u30DD\u30B8\u30C8\u30EA\u306E\u4F5C\u6210\u3068\u7BA1\u7406
    create_repo,
    delete_repo,
    update_repo_visibility,

    # \u305D\u3057\u3066\u3001\u30B3\u30F3\u30C6\u30F3\u30C4\u306B\u95A2\u3059\u308B\u60C5\u5831\u3092\u53D6\u5F97\uFF0F\u5909\u66F4\u3059\u308B\u305F\u3081\u306E\u3044\u304F\u3064\u304B\u306E\u30E1\u30BD\u30C3\u30C9
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    list_datasets,
    list_metrics,
    list_repo_files,
    upload_file,
    delete_file,
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    login,
    logout,
    whoami,

    <span class="hljs-comment"># \u30EC\u30DD\u30B8\u30C8\u30EA\u306E\u4F5C\u6210\u3068\u7BA1\u7406</span>
    create_repo,
    delete_repo,
    update_repo_visibility,

    <span class="hljs-comment"># \u305D\u3057\u3066\u3001\u30B3\u30F3\u30C6\u30F3\u30C4\u306B\u95A2\u3059\u308B\u60C5\u5831\u3092\u53D6\u5F97\uFF0F\u5909\u66F4\u3059\u308B\u305F\u3081\u306E\u3044\u304F\u3064\u304B\u306E\u30E1\u30BD\u30C3\u30C9</span>
    list_models,
    list_datasets,
    list_metrics,
    list_repo_files,
    upload_file,
    delete_file,
)`}}),Zt=new I({props:{code:`from huggingface_hub import create_repo

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create_repo("dummy-model", organization="huggingface")`,highlighted:`<span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> create_repo

create_repo(<span class="hljs-string">&quot;dummy-model&quot;</span>, organization=<span class="hljs-string">&quot;huggingface&quot;</span>)`}}),mo=new yi({}),_o=new I({props:{code:`from huggingface_hub import upload_file

upload_file(
    "<path_to_file>/config.json",
    path_in_repo="config.json",
    repo_id="<namespace>/dummy-model",
)`,highlighted:`<span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> upload_file

upload_file(
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    repo_id=<span class="hljs-string">&quot;&lt;namespace&gt;/dummy-model&quot;</span>,
)`}}),ho=new yi({}),go=new I({props:{code:`from huggingface_hub import Repository

repo = Repository("<path_to_dummy_folder>", clone_from="<namespace>/dummy-model")`,highlighted:`<span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> Repository

repo = Repository(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>, clone_from=<span class="hljs-string">&quot;&lt;namespace&gt;/dummy-model&quot;</span>)`}}),vo=new I({props:{code:`repo.git_pull()
repo.git_add()
repo.git_commit()
repo.git_push()
repo.git_tag()`,highlighted:`repo.git_pull()
repo.git_add()
repo.git_commit()
repo.git_push()
repo.git_tag()`}}),ko=new I({props:{code:"repo.git_pull()",highlighted:"repo.git_pull()"}}),yo=new I({props:{code:`model.save_pretrained("<path_to_dummy_folder>")
tokenizer.save_pretrained("<path_to_dummy_folder>")`,highlighted:`model.save_pretrained(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>)
tokenizer.save_pretrained(<span class="hljs-string">&quot;&lt;path_to_dummy_folder&gt;&quot;</span>)`}}),jo=new I({props:{code:`repo.git_add()
repo.git_commit("Add model and tokenizer files")
repo.git_push()`,highlighted:`repo.git_add()
repo.git_commit(<span class="hljs-string">&quot;Add model and tokenizer files&quot;</span>)
repo.git_push()`}}),Po=new yi({}),Ao=new I({props:{code:"git lfs install",highlighted:"git lfs install"}}),Co=new I({props:{code:`Updated git hooks.
Git LFS initialized.`,highlighted:`Updated git hooks.
Git LFS initialized.`}}),Oo=new I({props:{code:"git clone https://huggingface.co/<namespace>/<your-model-id>",highlighted:'git <span class="hljs-built_in">clone</span> https://huggingface.co/&lt;namespace&gt;/&lt;your-model-id&gt;'}}),Mo=new I({props:{code:"git clone https://huggingface.co/lysandre/dummy",highlighted:'git clone https:<span class="hljs-regexp">//</span>huggingface.co<span class="hljs-regexp">/lysandre/</span>dummy'}}),zo=new I({props:{code:"cd dummy && ls",highlighted:'<span class="hljs-built_in">cd</span> dummy &amp;&amp; <span class="hljs-built_in">ls</span>'}}),To=new I({props:{code:"README.md",highlighted:"README.md"}});const pm=[W_,K_],Uo=[];function am(e,i){return e[0]==="pt"?0:1}je=am(M),Pe=Uo[je]=pm[je](M),qo=new I({props:{code:"ls",highlighted:'<span class="hljs-built_in">ls</span>'}});const nm=[X_,J_],Vo=[];function cm(e,i){return e[0]==="pt"?0:1}De=cm(M),Ae=Vo[De]=nm[De](M),jt=new C_({props:{$$slots:{default:[Z_]},$$scope:{ctx:M}}}),Fo=new I({props:{code:"git add .",highlighted:"git add ."}}),Io=new I({props:{code:"git status",highlighted:"git status"}});const mm=[ed,Q_],Yo=[];function um(e,i){return e[0]==="pt"?0:1}Ce=um(M),Oe=Yo[Ce]=mm[Ce](M),Go=new I({props:{code:"git lfs status",highlighted:"git lfs status"}});const _m=[od,td],Ko=[];function dm(e,i){return e[0]==="pt"?0:1}Me=dm(M),ze=Ko[Me]=_m[Me](M),Lo=new I({props:{code:'git commit -m "First model version"',highlighted:'git commit -m <span class="hljs-string">&quot;First model version&quot;</span>'}});const hm=[rd,ld],Wo=[];function $m(e,i){return e[0]==="pt"?0:1}Te=$m(M),qe=Wo[Te]=hm[Te](M),So=new I({props:{code:"git push",highlighted:"git push"}}),Ro=new I({props:{code:`Uploading LFS objects: 100% (1/1), 433 MB | 1.3 MB/s, done.
Enumerating objects: 11, done.
Counting objects: 100% (11/11), done.
Delta compression using up to 12 threads
Compressing objects: 100% (9/9), done.
Writing objects: 100% (9/9), 288.27 KiB | 6.27 MiB/s, done.
Total 9 (delta 1), reused 0 (delta 0), pack-reused 0
To https://huggingface.co/lysandre/dummy
   891b41d..b08aab1  main -> main`,highlighted:`Uploading LFS objects: 100% (1/1), 433 MB | 1.3 MB/s, <span class="hljs-keyword">done</span>.
Enumerating objects: 11, <span class="hljs-keyword">done</span>.
Counting objects: 100% (11/11), <span class="hljs-keyword">done</span>.
Delta compression using up to 12 threads
Compressing objects: 100% (9/9), <span class="hljs-keyword">done</span>.
Writing objects: 100% (9/9), 288.27 KiB | 6.27 MiB/s, <span class="hljs-keyword">done</span>.
Total 9 (delta 1), reused 0 (delta 0), pack-reused 0
To https://huggingface.co/lysandre/dummy
   891b41d..b08aab1  main -&gt; main`}});function bm(e,i){return e[0]==="pt"?sd:id}let 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