import{s as S,n as q,o as B}from"../chunks/scheduler.37c15a92.js";import{S as G,i as A,g as p,s as l,r as F,A as W,h as g,f as e,c as m,j as w,u as E,x as L,k,y as I,a as r,v as D,d as H,t as x,w as M}from"../chunks/index.2bf4358c.js";import{H as O,E as j}from"../chunks/getInferenceSnippets.1837c472.js";function N(_){let a,h,c,f,n,P,o,$="<thead><tr><th>Original</th> <th>Français</th></tr></thead> <tbody><tr><td>Accuracy</td> <td>Précision</td></tr> <tr><td>Backward Pass</td> <td>Passe arrière</td></tr> <tr><td>Batch</td> <td><em>Batch</em></td></tr> <tr><td>Benchmark</td> <td><em>Benchmark</em></td></tr> <tr><td>Cache</td> <td>Cache</td></tr> <tr><td>Chapter</td> <td>Chapitre</td></tr> <tr><td>Checkpoint</td> <td><em>Checkpoint</em> (plus rarement « point de sauvegarde »)</td></tr> <tr><td>Colab Notebook</td> <td><em>Notebook</em> Google Colab</td></tr> <tr><td>Colator function</td> <td>Fonction d’assemblement</td></tr> <tr><td>Command</td> <td>Commande</td></tr> <tr><td>Configuration</td> <td>Configuration</td></tr> <tr><td>Course</td> <td>Cours</td></tr> <tr><td>Dataloader</td> <td>Chargeur de données</td></tr> <tr><td>Dependency</td> <td>Dépendances</td></tr> <tr><td>Deployment</td> <td>Déploiement</td></tr> <tr><td>Development</td> <td>Développement</td></tr> <tr><td>Dictionary</td> <td>Dictionnaire</td></tr> <tr><td>Download</td> <td>Télécharger</td></tr> <tr><td>Feature</td> <td>Variable</td></tr> <tr><td>Field</td> <td>Champ</td></tr> <tr><td>Fine-tuning</td> <td>Finetuning</td></tr> <tr><td>Folder</td> <td>Dossier</td></tr> <tr><td>Forward Pass</td> <td>Passe avant</td></tr> <tr><td>Google</td> <td><em>Google</em></td></tr> <tr><td>Hugging Face</td> <td><em>Hugging Face</em></td></tr> <tr><td>Inference</td> <td>Inférence</td></tr> <tr><td>Learning rate</td> <td>Taux d’apprentissage</td></tr> <tr><td>Library</td> <td>Bibliothèque</td></tr> <tr><td>Linux</td> <td>Linux</td></tr> <tr><td>Loss function</td> <td>Fonction de perte/coût</td></tr> <tr><td>Loop</td> <td>Boucle</td></tr> <tr><td>macOS</td> <td>macOS</td></tr> <tr><td>Model</td> <td>Modèle</td></tr> <tr><td>Hugging Face Hub</td> <td><em>Hub</em> d’<em>Hugging Face</em></td></tr> <tr><td>Module</td> <td>Module</td></tr> <tr><td>Natural Language Processing</td> <td>Traitement du langage naturel</td></tr> <tr><td>Package</td> <td>Paquet</td></tr> <tr><td>Padding</td> <td>Rembourrage</td></tr> <tr><td>Parameter</td> <td>Paramètre</td></tr> <tr><td>Python</td> <td>Python</td></tr> <tr><td>PyTorch</td> <td>PyTorch</td></tr> <tr><td>Samples</td> <td>Echantillons</td></tr> <tr><td>Scheduler</td> <td>Planificateur</td></tr> <tr><td>Script</td> <td>Script</td></tr> <tr><td>Setup</td> <td>Installation</td></tr> <tr><td>TensorFlow</td> <td>TensorFlow</td></tr> <tr><td>Terminal</td> <td>Terminal</td></tr> <tr><td>Tokenizer</td> <td>Tokeniseur</td></tr> <tr><td>Train</td> <td>Entraîner</td></tr> <tr><td>Transformer</td> <td><em>Transformer</em></td></tr> <tr><td>Virtual Environment</td> <td>Environnement virtuel</td></tr> <tr><td>Weight decay</td> <td>Taux de décroissance des poids</td></tr> <tr><td>Weights</td> <td>Poids</td></tr> <tr><td>Windows</td> <td><em>Windows</em></td></tr> <tr><td>Working Environment</td> <td>Environnement de travail</td></tr></tbody>",b,i,y=`A noter que les mots anglais non traduits sont indiqués en italique dans le cours.<br/>
De plus, les abréviations techniques comme API, GPU, TPU, etc. ne sont pas traduites.`,T,s,v,u,C;return n=new O({props:{title:"Glossaire",local:"glossaire",headingTag:"h1"}}),s=new j({props:{source:"https://github.com/huggingface/course/blob/main/chapters/fr/glossary/1.mdx"}}),{c(){a=p("meta"),h=l(),c=p("p"),f=l(),F(n.$$.fragment),P=l(),o=p("table"),o.innerHTML=$,b=l(),i=p("p"),i.innerHTML=y,T=l(),F(s.$$.fragment),v=l(),u=p("p"),this.h()},l(t){const d=W("svelte-u9bgzb",document.head);a=g(d,"META",{name:!0,content:!0}),d.forEach(e),h=m(t),c=g(t,"P",{}),w(c).forEach(e),f=m(t),E(n.$$.fragment,t),P=m(t),o=g(t,"TABLE",{"data-svelte-h":!0}),L(o)!=="svelte-1erofq1"&&(o.innerHTML=$),b=m(t),i=g(t,"P",{"data-svelte-h":!0}),L(i)!=="svelte-jqjvcs"&&(i.innerHTML=y),T=m(t),E(s.$$.fragment,t),v=m(t),u=g(t,"P",{}),w(u).forEach(e),this.h()},h(){k(a,"name","hf:doc:metadata"),k(a,"content",U)},m(t,d){I(document.head,a),r(t,h,d),r(t,c,d),r(t,f,d),D(n,t,d),r(t,P,d),r(t,o,d),r(t,b,d),r(t,i,d),r(t,T,d),D(s,t,d),r(t,v,d),r(t,u,d),C=!0},p:q,i(t){C||(H(n.$$.fragment,t),H(s.$$.fragment,t),C=!0)},o(t){x(n.$$.fragment,t),x(s.$$.fragment,t),C=!1},d(t){t&&(e(h),e(c),e(f),e(P),e(o),e(b),e(i),e(T),e(v),e(u)),e(a),M(n,t),M(s,t)}}}const U='{"title":"Glossaire","local":"glossaire","sections":[],"depth":1}';function z(_){return B(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class K extends G{constructor(a){super(),A(this,a,z,N,S,{})}}export{K as component};
