import{S as ls,i as cs,s as is,e as l,k as E,w as H,t as d,M as ms,c,d as t,m as w,x as J,a as m,h as u,b as h,N as rs,G as e,g as z,y as U,o as L,p as as,q as y,B as K,v as ps,n as os}from"../../chunks/vendor-hf-doc-builder.js";import{T as ds}from"../../chunks/Tip-hf-doc-builder.js";import{C as me}from"../../chunks/CodeBlock-hf-doc-builder.js";import{D as ns}from"../../chunks/DocNotebookDropdown-hf-doc-builder.js";import{F as us}from"../../chunks/FrameworkSwitchCourse-hf-doc-builder.js";function fs(D){let r,n;return r=new ns({props:{classNames:"absolute z-10 right-0 top-0",options:[{label:"Google Colab",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter4/section2_tf.ipynb"},{label:"Aws Studio",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter4/section2_tf.ipynb"}]}}),{c(){H(r.$$.fragment)},l(a){J(r.$$.fragment,a)},m(a,p){U(r,a,p),n=!0},i(a){n||(y(r.$$.fragment,a),n=!0)},o(a){L(r.$$.fragment,a),n=!1},d(a){K(r,a)}}}function hs(D){let r,n;return r=new ns({props:{classNames:"absolute z-10 right-0 top-0",options:[{label:"Google Colab",value:"https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter4/section2_pt.ipynb"},{label:"Aws Studio",value:"https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter4/section2_pt.ipynb"}]}}),{c(){H(r.$$.fragment)},l(a){J(r.$$.fragment,a)},m(a,p){U(r,a,p),n=!0},i(a){n||(y(r.$$.fragment,a),n=!0)},o(a){L(r.$$.fragment,a),n=!1},d(a){K(r,a)}}}function bs(D){let r,n,a,p,o,b,g,A,k,$,j,M,S,I,F,x,v,T;return n=new me({props:{code:`from transformers import CamembertTokenizer, TFCamembertForMaskedLM

tokenizer = CamembertTokenizer.from_pretrained("camembert-base")
model = TFCamembertForMaskedLM.from_pretrained("camembert-base")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> CamembertTokenizer, TFCamembertForMaskedLM

tokenizer = CamembertTokenizer.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)
model = TFCamembertForMaskedLM.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)`}}),v=new me({props:{code:`from transformers import AutoTokenizer, TFAutoModelForMaskedLM

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

tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)
model = TFAutoModelForMaskedLM.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)`}}),{c(){r=l("div"),H(n.$$.fragment),a=E(),p=l("p"),o=d("\u0628\u0627 \u0627\u06CC\u0646 \u062D\u0627\u0644 \u062A\u0648\u0635\u06CC\u0647 \u0645\u06CC\u200C\u06A9\u0646\u06CC\u0645 \u0628\u0647 \u062C\u0627\u06CC \u0627\u06CC\u0646 \u06A9\u0627\u0631\u060C \u0627\u0632 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC\u06CC \u0627\u0633\u062A\u0641\u0627\u062F\u0647 \u06A9\u0646\u06CC\u062F \u06A9\u0647 \u0646\u0627\u0645 \u0622\u0646\u200C\u0647\u0627 \u0628\u0627 "),b=l("span"),g=l("a"),A=l("code"),k=d("TFAuto*"),$=d(" \u0634\u0631\u0648\u0639 \u0645\u06CC\u200C\u0634\u0648\u062F\u061B \u0686\u0631\u0627 \u06A9\u0647 \u0637\u0631\u0627\u062D\u06CC \u0627\u06CC\u0646 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC \u062E\u0648\u062F\u06A9\u0627\u0631 \u0628\u0647 \u06AF\u0648\u0646\u0647\u200C\u0627\u06CC\u0633\u062A \u06A9\u0647 \u0641\u0627\u0631\u063A \u0627\u0632 \u0647\u0631\u06AF\u0648\u0646\u0647 \u0648\u0627\u0628\u0633\u062A\u06AF\u06CC \u0628\u0647 \u0645\u0639\u0645\u0627\u0631\u06CC \u0628\u0647 \u06A9\u0627\u0631 \u0631\u0641\u062A\u0647 \u0647\u0633\u062A\u0646\u062F. \u062F\u0631 \u062D\u0627\u0644\u06CC \u06A9\u0647 \u0646\u0645\u0648\u0646\u0647 \u06A9\u062F \u0642\u0628\u0644\u06CC\u060C \u06A9\u0627\u0631\u0628\u0631\u0627\u0646 \u0631\u0627 \u0645\u062D\u062F\u0648\u062F \u0628\u0647 \u0646\u0642\u0627\u0637 \u062A\u0639\u0644\u06CC\u0645 \u0642\u0627\u0628\u0644 \u0628\u0627\u0631\u06AF\u0630\u0627\u0631\u06CC \u062F\u0631 \u0645\u0639\u0645\u0627\u0631\u06CC CamemBERT \u0645\u06CC\u200C\u06A9\u0646\u062F\u060C \u0627\u0633\u062A\u0641\u0627\u062F\u0647 \u0627\u0632 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC "),j=l("span"),M=l("code"),S=d("TFAuto*"),I=d("\u060C \u062A\u0639\u0648\u06CC\u0636 \u0646\u0642\u0627\u0637 \u062A\u0639\u0644\u06CC\u0645 \u0631\u0627 \u0633\u0627\u062F\u0647\u200C\u062A\u0631 \u0645\u06CC\u200C\u0646\u0645\u0627\u06CC\u062F:"),F=E(),x=l("div"),H(v.$$.fragment),this.h()},l(s){r=c(s,"DIV",{dir:!0});var _=m(r);J(n.$$.fragment,_),_.forEach(t),a=w(s),p=c(s,"P",{});var C=m(p);o=u(C,"\u0628\u0627 \u0627\u06CC\u0646 \u062D\u0627\u0644 \u062A\u0648\u0635\u06CC\u0647 \u0645\u06CC\u200C\u06A9\u0646\u06CC\u0645 \u0628\u0647 \u062C\u0627\u06CC \u0627\u06CC\u0646 \u06A9\u0627\u0631\u060C \u0627\u0632 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC\u06CC \u0627\u0633\u062A\u0641\u0627\u062F\u0647 \u06A9\u0646\u06CC\u062F \u06A9\u0647 \u0646\u0627\u0645 \u0622\u0646\u200C\u0647\u0627 \u0628\u0627 "),b=c(C,"SPAN",{dir:!0});var q=m(b);g=c(q,"A",{href:!0,rel:!0});var Q=m(g);A=c(Q,"CODE",{});var N=m(A);k=u(N,"TFAuto*"),N.forEach(t),Q.forEach(t),q.forEach(t),$=u(C," \u0634\u0631\u0648\u0639 \u0645\u06CC\u200C\u0634\u0648\u062F\u061B \u0686\u0631\u0627 \u06A9\u0647 \u0637\u0631\u0627\u062D\u06CC \u0627\u06CC\u0646 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC \u062E\u0648\u062F\u06A9\u0627\u0631 \u0628\u0647 \u06AF\u0648\u0646\u0647\u200C\u0627\u06CC\u0633\u062A \u06A9\u0647 \u0641\u0627\u0631\u063A \u0627\u0632 \u0647\u0631\u06AF\u0648\u0646\u0647 \u0648\u0627\u0628\u0633\u062A\u06AF\u06CC \u0628\u0647 \u0645\u0639\u0645\u0627\u0631\u06CC \u0628\u0647 \u06A9\u0627\u0631 \u0631\u0641\u062A\u0647 \u0647\u0633\u062A\u0646\u062F. \u062F\u0631 \u062D\u0627\u0644\u06CC \u06A9\u0647 \u0646\u0645\u0648\u0646\u0647 \u06A9\u062F \u0642\u0628\u0644\u06CC\u060C \u06A9\u0627\u0631\u0628\u0631\u0627\u0646 \u0631\u0627 \u0645\u062D\u062F\u0648\u062F \u0628\u0647 \u0646\u0642\u0627\u0637 \u062A\u0639\u0644\u06CC\u0645 \u0642\u0627\u0628\u0644 \u0628\u0627\u0631\u06AF\u0630\u0627\u0631\u06CC \u062F\u0631 \u0645\u0639\u0645\u0627\u0631\u06CC CamemBERT \u0645\u06CC\u200C\u06A9\u0646\u062F\u060C \u0627\u0633\u062A\u0641\u0627\u062F\u0647 \u0627\u0632 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC "),j=c(C,"SPAN",{dir:!0});var W=m(j);M=c(W,"CODE",{});var X=m(M);S=u(X,"TFAuto*"),X.forEach(t),W.forEach(t),I=u(C,"\u060C \u062A\u0639\u0648\u06CC\u0636 \u0646\u0642\u0627\u0637 \u062A\u0639\u0644\u06CC\u0645 \u0631\u0627 \u0633\u0627\u062F\u0647\u200C\u062A\u0631 \u0645\u06CC\u200C\u0646\u0645\u0627\u06CC\u062F:"),C.forEach(t),F=w(s),x=c(s,"DIV",{dir:!0});var V=m(x);J(v.$$.fragment,V),V.forEach(t),this.h()},h(){h(r,"dir","ltr"),h(g,"href","https://huggingface.co/transformers/model_doc/auto.html?highlight=auto#auto-classes"),h(g,"rel","nofollow"),h(b,"dir","ltr"),h(j,"dir","ltr"),h(x,"dir","ltr")},m(s,_){z(s,r,_),U(n,r,null),z(s,a,_),z(s,p,_),e(p,o),e(p,b),e(b,g),e(g,A),e(A,k),e(p,$),e(p,j),e(j,M),e(M,S),e(p,I),z(s,F,_),z(s,x,_),U(v,x,null),T=!0},i(s){T||(y(n.$$.fragment,s),y(v.$$.fragment,s),T=!0)},o(s){L(n.$$.fragment,s),L(v.$$.fragment,s),T=!1},d(s){s&&t(r),K(n),s&&t(a),s&&t(p),s&&t(F),s&&t(x),K(v)}}}function _s(D){let r,n,a,p,o,b,g,A,k,$,j,M,S,I,F,x,v,T;return n=new me({props:{code:`from transformers import CamembertTokenizer, CamembertForMaskedLM

tokenizer = CamembertTokenizer.from_pretrained("camembert-base")
model = CamembertForMaskedLM.from_pretrained("camembert-base")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> CamembertTokenizer, CamembertForMaskedLM

tokenizer = CamembertTokenizer.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)
model = CamembertForMaskedLM.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)`}}),v=new me({props:{code:`from transformers import AutoTokenizer, AutoModelForMaskedLM

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

tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)
model = AutoModelForMaskedLM.from_pretrained(<span class="hljs-string">&quot;camembert-base&quot;</span>)`}}),{c(){r=l("div"),H(n.$$.fragment),a=E(),p=l("p"),o=d("\u0628\u0627 \u0627\u06CC\u0646 \u062D\u0627\u0644 \u062A\u0648\u0635\u06CC\u0647 \u0645\u06CC\u200C\u06A9\u0646\u06CC\u0645 \u0628\u0647 \u062C\u0627\u06CC \u0627\u06CC\u0646 \u06A9\u0627\u0631\u060C \u0627\u0632 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC\u06CC \u0627\u0633\u062A\u0641\u0627\u062F\u0647 \u06A9\u0646\u06CC\u062F \u06A9\u0647 \u0646\u0627\u0645 \u0622\u0646\u200C\u0647\u0627 \u0628\u0627 "),b=l("span"),g=l("a"),A=l("code"),k=d("Auto*"),$=d(" \u0634\u0631\u0648\u0639 \u0645\u06CC\u200C\u0634\u0648\u062F\u061B \u0686\u0631\u0627 \u06A9\u0647 \u0637\u0631\u0627\u062D\u06CC \u0627\u06CC\u0646 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC \u062E\u0648\u062F\u06A9\u0627\u0631 \u0628\u0647 \u06AF\u0648\u0646\u0647\u200C\u0627\u06CC\u0633\u062A \u06A9\u0647 \u0641\u0627\u0631\u063A \u0627\u0632 \u0647\u0631\u06AF\u0648\u0646\u0647 \u0648\u0627\u0628\u0633\u062A\u06AF\u06CC \u0628\u0647 \u0645\u0639\u0645\u0627\u0631\u06CC \u0628\u0647 \u06A9\u0627\u0631 \u0631\u0641\u062A\u0647 \u0647\u0633\u062A\u0646\u062F. \u062F\u0631 \u062D\u0627\u0644\u06CC \u06A9\u0647 \u0646\u0645\u0648\u0646\u0647 \u06A9\u062F \u0642\u0628\u0644\u06CC\u060C \u06A9\u0627\u0631\u0628\u0631\u0627\u0646 \u0631\u0627 \u0645\u062D\u062F\u0648\u062F \u0628\u0647 \u0646\u0642\u0627\u0637 \u062A\u0639\u0644\u06CC\u0645 \u0642\u0627\u0628\u0644 \u0628\u0627\u0631\u06AF\u0630\u0627\u0631\u06CC \u062F\u0631 \u0645\u0639\u0645\u0627\u0631\u06CC CamemBERT \u0645\u06CC\u200C\u06A9\u0646\u062F\u060C \u0627\u0633\u062A\u0641\u0627\u062F\u0647 \u0627\u0632 \u06A9\u0644\u0627\u0633\u200C\u0647\u0627\u06CC "),j=l("span"),M=l("code"),S=d("Auto*"),I=d("\u060C \u062A\u0639\u0648\u06CC\u0636 \u0646\u0642\u0627\u0637 \u062A\u0639\u0644\u06CC\u0645 \u0631\u0627 \u0633\u0627\u062F\u0647\u200C\u062A\u0631 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results = camembert_fill_mask("Le camembert est <mask> :)")`,highlighted:`<span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline

camembert_fill_mask = pipeline(<span class="hljs-string">&quot;fill-mask&quot;</span>, model=<span class="hljs-string">&quot;camembert-base&quot;</span>)
results = camembert_fill_mask(<span class="hljs-string">&quot;Le camembert est &lt;mask&gt; :)&quot;</span>)`}}),te=new me({props:{code:`[
  {'sequence': 'Le camembert est d\xE9licieux :)', 'score': 0.49091005325317383, 'token': 7200, 'token_str': 'd\xE9licieux'}, 
  {'sequence': 'Le camembert est excellent :)', 'score': 0.1055697426199913, 'token': 2183, 'token_str': 'excellent'}, 
  {'sequence': 'Le camembert est succulent :)', 'score': 0.03453313186764717, 'token': 26202, 'token_str': 'succulent'}, 
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