Buckets:
| import{s as Y,n as tt,o as dt}from"../chunks/scheduler.893fe8c9.js";import{S as et,i as rt,e as o,s as n,c as w,h as nt,a as s,d as e,b as a,f as K,g as x,j as T,k as X,l as at,m as r,n as k,t as C,o as v,p as M}from"../chunks/index.2d09ebb4.js";import{C as it,H as z,E as ot}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.8861d5ab.js";function st(B){let i,_,L,A,l,S,c,E,m,O="<thead><tr><th>Оригинал</th> <th>Перевод</th></tr></thead> <tbody><tr><td>Abstraction</td> <td>абстракция</td></tr> <tr><td>Account</td> <td>учетная запись</td></tr> <tr><td>Accuracy</td> <td>accuracy</td></tr> <tr><td>Artificial General Intelligence</td> <td>сильный искусственный интеллект</td></tr> <tr><td>Attention</td> <td>внимание</td></tr> <tr><td>Attention mask (layer)</td> <td>маска внимания (слой)</td></tr> <tr><td>Backward Pass*</td> <td>обратный проход</td></tr> <tr><td>Batch</td> <td>батч</td></tr> <tr><td>Bias</td> <td>смещение</td></tr> <tr><td>Causal Language Modeling</td> <td>каузальное языковое моделирование</td></tr> <tr><td>Chapter</td> <td>глава</td></tr> <tr><td>Checkpoint(s)</td> <td>чекпоинт</td></tr> <tr><td>Class</td> <td>класс</td></tr> <tr><td>Classification</td> <td>классификация</td></tr> <tr><td>Code</td> <td>код</td></tr> <tr><td>Colab Notebook</td> <td>блокнот Colab</td></tr> <tr><td>Command</td> <td>команда</td></tr> <tr><td>Computer Vision</td> <td>компьютерное зрение</td></tr> <tr><td>Configuration</td> <td>конфигурация</td></tr> <tr><td>Course</td> <td>курс</td></tr> <tr><td>Decoder</td> <td>декодировщик / декодер</td></tr> <tr><td>Dependency</td> <td>зависимость</td></tr> <tr><td>Deployment</td> <td>развертывание (программного обеспечения)</td></tr> <tr><td>Development</td> <td>разработка</td></tr> <tr><td>Dictionary</td> <td>dictionary</td></tr> <tr><td>Distribution</td> <td>распределение</td></tr> <tr><td>Download</td> <td>download</td></tr> <tr><td>Encoder</td> <td>кодировщик / энкодер</td></tr> <tr><td>Extractive question answering</td> <td>выделительная вопросно-ответная система</td></tr> <tr><td>F1 score</td> <td>F1-мера</td></tr> <tr><td>Feature</td> <td>признак</td></tr> <tr><td>Fine-tune</td> <td>дообучать</td></tr> <tr><td>Fine-tuning</td> <td>дообучение</td></tr> <tr><td>Folder</td> <td>папка / директория</td></tr> <tr><td>Forward Pass*</td> <td>прямой проход</td></tr> <tr><td>Function</td> <td>функция</td></tr> <tr><td>Generative question answering</td> <td>генеративная вопросно-ответная система</td></tr> <tr><td>Google</td> <td>Google</td></tr> <tr><td>Hugging Face</td> <td>Hugging Face</td></tr> <tr><td>Incompatibility</td> <td>несовместимость</td></tr> <tr><td>Inference</td> <td>инференс</td></tr> <tr><td>Input</td> <td>вход</td></tr> <tr><td>Input data</td> <td>входные данные</td></tr> <tr><td>Label (verb)</td> <td>размечать</td></tr> <tr><td>Label (subj)</td> <td>метка класса</td></tr> <tr><td>Layer</td> <td>слой</td></tr> <tr><td>Library</td> <td>библиотека</td></tr> <tr><td>Linux</td> <td>Linux</td></tr> <tr><td>Load</td> <td>загружать</td></tr> <tr><td>Loss function</td> <td>функция потерь</td></tr> <tr><td>Machine Learning</td> <td>машинное обучение</td></tr> <tr><td>macOS</td> <td>macOS</td></tr> <tr><td>Mask</td> <td>маска</td></tr> <tr><td>Mask Filling</td> <td>предсказание замаскированного токена</td></tr> <tr><td>Mask Token</td> <td>токен-маска</td></tr> <tr><td>Masked Language Modeling</td> <td>маскированное языковое моделирование</td></tr> <tr><td>Model</td> <td>модель</td></tr> <tr><td>Model Hub</td> <td>Model Hub</td></tr> <tr><td>Module</td> <td>модуль</td></tr> <tr><td>Named Entities</td> <td>именованные сущности</td></tr> <tr><td>Named Entity Recognition</td> <td>распознавание именованных сущностей</td></tr> <tr><td>Natural Language Processing</td> <td>обработка естественного языка</td></tr> <tr><td>Output</td> <td>выход</td></tr> <tr><td>Package</td> <td>пакет</td></tr> <tr><td>Package Manager</td> <td>менеджер пакетов</td></tr> <tr><td>Padding (объект)</td> <td>padding</td></tr> <tr><td>Padding (действие)</td> <td>дополнение</td></tr> <tr><td>Parameter</td> <td>параметр</td></tr> <tr><td>Postprocessing</td> <td>постобработка / последующая обработка</td></tr> <tr><td>Preprocessing</td> <td>предобработка / предварительная обработка</td></tr> <tr><td>Pretraining</td> <td>предварительное обучение / предобучение</td></tr> <tr><td>Pretrained model</td> <td>предварительно обученная модель</td></tr> <tr><td>Pretrained model</td> <td>предобученная модель</td></tr> <tr><td>Prompt</td> <td>начальный текст</td></tr> <tr><td>Python</td> <td>Python</td></tr> <tr><td>Pytorch</td> <td>Pytorch</td></tr> <tr><td>Question Answering</td> <td>вопросно-ответная система</td></tr> <tr><td>Save</td> <td>сохранять</td></tr> <tr><td>Sample</td> <td>пример</td></tr> <tr><td>Script</td> <td>скрипт</td></tr> <tr><td>Self-Attention</td> <td>самовнимание</td></tr> <tr><td>Self-Contained</td> <td>самостоятельный</td></tr> <tr><td>Sentiment analysis</td> <td>анализ тональности текста (сентимент-анализ)</td></tr> <tr><td>Sequence-to-sequence models</td> <td>sequence-to-sequence модель</td></tr> <tr><td>Setup</td> <td>установка (программы) / настройка (среды)</td></tr> <tr><td>Speech Processing</td> <td>обработка речи</td></tr> <tr><td>Speech Recognition</td> <td>распознавание речи</td></tr> <tr><td>Summarization</td> <td>суммаризация</td></tr> <tr><td>Target</td> <td>целевая переменная</td></tr> <tr><td>Task</td> <td>задача</td></tr> <tr><td>TensorFlow</td> <td>Tensorflow</td></tr> <tr><td>Terminal</td> <td>терминал</td></tr> <tr><td>Text generation</td> <td>генерация текста</td></tr> <tr><td>Tokenizer</td> <td>Tokenizer (библиотека) / токенизатор</td></tr> <tr><td>Train</td> <td>обучение (обучать)</td></tr> <tr><td>Transfer Learning</td> <td>Transfer Learning / трансферное обучение</td></tr> <tr><td>Transformer</td> <td>трансформер</td></tr> <tr><td>Transformer models</td> <td>архитектура трансформер</td></tr> <tr><td>Translation</td> <td>(машинный) перевод</td></tr> <tr><td>Virtual Environment</td> <td>виртуальное окружение</td></tr> <tr><td>Weight</td> <td>вес</td></tr> <tr><td>Weights</td> <td>веса</td></tr> <tr><td>Windows</td> <td>Windows</td></tr> <tr><td>Working Environment</td> <td>рабочее окружение</td></tr> <tr><td>Workload</td> <td>нагрузка</td></tr> <tr><td>Workspace</td> <td>Workspace</td></tr> <tr><td>Zero-shot classification</td> <td>zero-shot классификация</td></tr></tbody>",H,p,j="=======",F,u,V="* Данные термины могут употребляться взаимозаменяемо с их английской версией",N,g,q,f,Q="<thead><tr><th>Оригинал</th> <th>Перевод</th></tr></thead> <tbody><tr><td>NLP</td> <td>NLP</td></tr> <tr><td>API</td> <td>API</td></tr> <tr><td>GPU</td> <td>GPU</td></tr> <tr><td>TPU</td> <td>TPU</td></tr> <tr><td>ML</td> <td>ML</td></tr></tbody>",G,h,I,y,Z='Please refer to <a href="/chapters/ru/TRANSLATING.txt">TRANSLATING.txt</a> for a translation guide. Here are some excerpts relevant to the glossary:',D,$,J=`<li><p>Refer and contribute to the glossary frequently to stay on top of the latest | |
| choices we make. This minimizes the amount of editing that is required. | |
| Add new terms alphabetically sorted.</p></li> <li><p>The Russian language accepts English words especially in modern contexts more | |
| than many other languages (i.e. Anglicisms). Check for the correct usage of | |
| terms in computer science and commonly used terms in other publications.</p></li> <li><p>Don’t translate industry-accepted acronyms. e.g. TPU or GPU.</p></li> <li><p>If translating a technical word, keep the choice of Russian translation consistent. | |
| This does not apply for non-technical choices, as in those cases variety actually | |
| helps keep the text engaging.</p></li> <li><p>Be exact when choosing equivalents for technical words. Package is package. | |
| Library is library. Don’t mix and match.</p></li>`,R,P,U,b,W;return l=new it({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),c=new z({props:{title:"Глоссарий",local:"глоссарий",headingTag:"h1"}}),g=new z({props:{title:"Сокращения",local:"сокращения",headingTag:"h2"}}),h=new z({props:{title:"Notes",local:"notes",headingTag:"h2"}}),P=new ot({props:{source:"https://github.com/huggingface/course/blob/main/chapters/ru/glossary/1.mdx"}}),{c(){i=o("meta"),_=n(),L=o("p"),A=n(),w(l.$$.fragment),S=n(),w(c.$$.fragment),E=n(),m=o("table"),m.innerHTML=O,H=n(),p=o("p"),p.textContent=j,F=n(),u=o("p"),u.textContent=V,N=n(),w(g.$$.fragment),q=n(),f=o("table"),f.innerHTML=Q,G=n(),w(h.$$.fragment),I=n(),y=o("p"),y.innerHTML=Z,D=n(),$=o("ul"),$.innerHTML=J,R=n(),w(P.$$.fragment),U=n(),b=o("p"),this.h()},l(t){const d=nt("svelte-u9bgzb",document.head);i=s(d,"META",{name:!0,content:!0}),d.forEach(e),_=a(t),L=s(t,"P",{}),K(L).forEach(e),A=a(t),x(l.$$.fragment,t),S=a(t),x(c.$$.fragment,t),E=a(t),m=s(t,"TABLE",{"data-svelte-h":!0}),T(m)!=="svelte-6o04kk"&&(m.innerHTML=O),H=a(t),p=s(t,"P",{"data-svelte-h":!0}),T(p)!=="svelte-756rwd"&&(p.textContent=j),F=a(t),u=s(t,"P",{"data-svelte-h":!0}),T(u)!=="svelte-1ow2s7n"&&(u.textContent=V),N=a(t),x(g.$$.fragment,t),q=a(t),f=s(t,"TABLE",{"data-svelte-h":!0}),T(f)!=="svelte-5cwtoo"&&(f.innerHTML=Q),G=a(t),x(h.$$.fragment,t),I=a(t),y=s(t,"P",{"data-svelte-h":!0}),T(y)!=="svelte-h9ma5w"&&(y.innerHTML=Z),D=a(t),$=s(t,"UL",{"data-svelte-h":!0}),T($)!=="svelte-qi66ay"&&($.innerHTML=J),R=a(t),x(P.$$.fragment,t),U=a(t),b=s(t,"P",{}),K(b).forEach(e),this.h()},h(){X(i,"name","hf:doc:metadata"),X(i,"content",lt)},m(t,d){at(document.head,i),r(t,_,d),r(t,L,d),r(t,A,d),k(l,t,d),r(t,S,d),k(c,t,d),r(t,E,d),r(t,m,d),r(t,H,d),r(t,p,d),r(t,F,d),r(t,u,d),r(t,N,d),k(g,t,d),r(t,q,d),r(t,f,d),r(t,G,d),k(h,t,d),r(t,I,d),r(t,y,d),r(t,D,d),r(t,$,d),r(t,R,d),k(P,t,d),r(t,U,d),r(t,b,d),W=!0},p:tt,i(t){W||(C(l.$$.fragment,t),C(c.$$.fragment,t),C(g.$$.fragment,t),C(h.$$.fragment,t),C(P.$$.fragment,t),W=!0)},o(t){v(l.$$.fragment,t),v(c.$$.fragment,t),v(g.$$.fragment,t),v(h.$$.fragment,t),v(P.$$.fragment,t),W=!1},d(t){t&&(e(_),e(L),e(A),e(S),e(E),e(m),e(H),e(p),e(F),e(u),e(N),e(q),e(f),e(G),e(I),e(y),e(D),e($),e(R),e(U),e(b)),e(i),M(l,t),M(c,t),M(g,t),M(h,t),M(P,t)}}}const lt='{"title":"Глоссарий","local":"глоссарий","sections":[{"title":"Сокращения","local":"сокращения","sections":[],"depth":2},{"title":"Notes","local":"notes","sections":[],"depth":2}],"depth":1}';function ct(B){return dt(()=>{new URLSearchParams(window.location.search).get("fw")}),[]}class gt extends et{constructor(i){super(),rt(this,i,ct,st,Y,{})}}export{gt as component}; | |
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