course/pr_1114/ro/chapter6/1.html

<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Introducere&quot;,&quot;local&quot;:&quot;introducere&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}">
		<link href="/docs/course/pr_1114/ro/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/entry/start.1936e943.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/scheduler.893fe8c9.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/singletons.9dd5f93a.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/index.bce52c8a.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/paths.0326fc18.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/entry/app.0b1c8533.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/preload-helper.f9ae18a4.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/index.6ee278c6.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/nodes/0.7e71f036.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/each.e59479a4.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/nodes/65.0d726e9d.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.543db1b8.js">
		<link rel="modulepreload" href="/docs/course/pr_1114/ro/_app/immutable/chunks/CourseFloatingBanner.b902b8d5.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Introducere&quot;,&quot;local&quot;:&quot;introducere&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END -->      <p></p>  <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 max-sm:gap-0.5 h-6 max-sm:h-5 px-2 max-sm:px-1.5 text-[11px] max-sm:text-[9px] font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0"><svg class="w-3 h-3 max-sm:w-2.5 max-sm:h-2.5" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg></span> <span>Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-6 max-sm:h-5 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible w-3 h-3 max-sm:w-2.5 max-sm:h-2.5 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg></button></div> </div>  <h1 class="relative group"><a id="introducere" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#introducere"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Introducere</span></h1> <div class="flex space-x-1 absolute z-10 right-0 top-0" style=""><a href="https://discuss.huggingface.co/t/chapter-6-questions" target="_blank"><img alt="Ask a Question" class="!m-0" src="https://img.shields.io/badge/Ask%20a%20question-ffcb4c.svg?logo=data:image/svg+xml;base64,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"></a>  </div> <p data-svelte-h="svelte-10r4x88">În <a href="/course/chapter3">Capitolul 3</a>, am examinat cum să facem fine-tune unui model pentru o anumită sarcină. Când facem acest lucru, utilizăm același tokenizer cu care modelul a fost antrenat - dar ce facem când dorim să antrenăm un model de la zero? În așa cazuri, utilizarea unui tokenizer care a fost antrenat pe un corpus dintr-un alt domeniu sau limbă este, de obicei, suboptimal. De exemplu, un tokenizer antrenat pe un corpus în limba engleză va funcționa rău pe un corpus de texte în limba japoneză, deoarece utilizarea spațiilor și a punctuației este foarte diferită în cele două limbi.</p> <p data-svelte-h="svelte-1wrbnfw">În acest capitol, veți învăța cum să antrenați un tokenizer complet nou pe un corpus de texte, astfel încât să poată fi utilizat pentru a antrena un model de limbaj. Acest lucru va fi realizat cu ajutorul bibliotecii <a href="https://github.com/huggingface/tokenizers" rel="nofollow">🤗 Tokenizers</a>, care oferă tokenizerii “rapizi” din biblioteca <a href="https://github.com/huggingface/transformers" rel="nofollow">🤗 Transformers</a>. Vom examina îndeaproape caracteristicile pe care această bibliotecă le oferă și vom explora cum tokenizatorii rapizi diferă de versiunile “lente”.</p> <p data-svelte-h="svelte-sf3fik">Subiectele pe care le vom acoperi includ:</p> <ul data-svelte-h="svelte-1t08ev4"><li>Cum să antrenați un tokenizer nou, similar celui utilizat de un anumit checkpoint pe un corpus nou de texte</li> <li>Caracteristicile speciale ale tokenizerilor rapizi</li> <li>Diferențele dintre cei trei algoritmi principali de subword tokenization utilizate în NLP în prezent</li> <li>Cum să construiți un tokenizer de la zero cu biblioteca 🤗 Tokenizers și să îl antrenați pe anumite date</li></ul> <p data-svelte-h="svelte-18zxhth">Tehnicile prezentate în acest capitol vă vor pregăti pentru secțiunea din <a href="/course/chapter7/6">Capitolul 7</a>, unde vom examina crearea unui model de limbaj pentru codul sursă Python. Să începem prin a explora ce înseamnă să “antrenați” un tokenizer în primul rând.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/course/blob/main/chapters/ro/chapter6/1.mdx" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg> <span data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a>  <p></p> 
			
			<script>
				{
					__sveltekit_wlmd79 = {
						assets: "/docs/course/pr_1114/ro",
						base: "/docs/course/pr_1114/ro",
						env: {}
					};

					const element = document.currentScript.parentElement;

					const data = [null,null];

					Promise.all([
						import("/docs/course/pr_1114/ro/_app/immutable/entry/start.1936e943.js"),
						import("/docs/course/pr_1114/ro/_app/immutable/entry/app.0b1c8533.js")
					]).then(([kit, app]) => {
						kit.start(app, element, {
							node_ids: [0, 65],
							data,
							form: null,
							error: null
						});
					});
				}
			</script>