Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Creare la tua prima demo","local":"creare-la-tua-prima-demo","sections":[{"title":"🤖 Includere le predizioni del modello","local":"-includere-le-predizioni-del-modello","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/course/pr_1069/it/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/entry/start.693d748d.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/scheduler.37c15a92.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/singletons.60b4c7a2.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/index.18351ede.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/paths.43b6516c.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/entry/app.e9cfd099.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/index.2bf4358c.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/nodes/0.bb8a536c.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/nodes/50.083bf5a4.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/CodeBlock.4e987730.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/CourseFloatingBanner.9ff4c771.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/DocNotebookDropdown.efc1fb7c.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1069/it/_app/immutable/chunks/getInferenceSnippets.24b50994.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Creare la tua prima demo","local":"creare-la-tua-prima-demo","sections":[{"title":"🤖 Includere le predizioni del modello","local":"-includere-le-predizioni-del-modello","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="creare-la-tua-prima-demo" 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="#creare-la-tua-prima-demo"><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>Creare la tua prima demo</span></h1> <div class="flex space-x-1 absolute z-10 right-0 top-0"><a href="https://discuss.huggingface.co/t/chapter-9-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> <a href="https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/chapter9/section2.ipynb" target="_blank"><img alt="Open In Colab" class="!m-0" src="https://colab.research.google.com/assets/colab-badge.svg"></a> <a href="https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/chapter9/section2.ipynb" target="_blank"><img alt="Open In Studio Lab" class="!m-0" src="https://studiolab.sagemaker.aws/studiolab.svg"></a></div> <p data-svelte-h="svelte-1kcxbqu">Iniziamo installando Gradio! Essendo una libreria di Python, è sufficiente eseguire:</p> <p data-svelte-h="svelte-sv8g3f"><code>$ pip install gradio</code></p> <p data-svelte-h="svelte-1h87863">Puoi usare Gradio ovunque, dalla tua IDE Python preferita, ai Jupyter notebook o anche in Google Colab 🤯! | |
| Quindi, installa Gradio in qualsiasi posto in cui usi Python!</p> <p data-svelte-h="svelte-g0ql64">Iniziamo con un semplice esempio “Hello World” per prendere familiarità con la sintassi di Gradio:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" 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> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> gradio <span class="hljs-keyword">as</span> gr | |
| <span class="hljs-keyword">def</span> <span class="hljs-title function_">greet</span>(<span class="hljs-params">name</span>): | |
| <span class="hljs-keyword">return</span> <span class="hljs-string">"Hello "</span> + name | |
| demo = gr.Interface(fn=greet, inputs=<span class="hljs-string">"text"</span>, outputs=<span class="hljs-string">"text"</span>) | |
| demo.launch()<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-4froyl">Analizziamo il codice qui sopra:</p> <ul data-svelte-h="svelte-1ir6309"><li>Per prima cosa, definiamo una funzione chiamata <code>greet()</code>. In questo caso, si tratta di una semplice funzione che aggiunge “Hello” prima di un nome (<em>name</em>), ma questa può essere in generale <em>qualsiasi</em> funzione in Python. Ad esempio, nelle applicazioni di machine learning, questa funzione <em>chiamerebbe un modello per fare una previsione</em> su un input e restituirebbe l’output.</li> <li>Creaiamo puoi una <code>Interface</code> (<em>Interfaccia</em>) di Gradio con tre argomenti, <code>fn</code>, <code>inputs</code>, e <code>outputs</code>. Questi argomenti definiscono la funzione di predizione e il <em>tipo</em> di componenti di ingresso e di uscita che desideriamo. Nel nostro caso, entrambi i componenti sono semplici caselle di testo.</li> <li>Chiamiamo poi il metodo <code>launch()</code> sul <code>Interface</code> creata.</li></ul> <p data-svelte-h="svelte-1slgw3n">Se si esegue questo codice, l’interfaccia qui sotto apparirà automaticamente all’interno di un Jupyter/Colab notebook, o comparirà in un browser <strong><a href="http://localhost:7860/" rel="nofollow">http://localhost:7860</a></strong> se lanciato in uno script.</p> <iframe src="https://course-demos-hello-world.hf.space" frameborder="0" height="250" title="Gradio app" class="container p-0 flex-grow space-iframe" allow="accelerometer; ambient-light-sensor; autoplay; battery; camera; document-domain; encrypted-media; fullscreen; geolocation; gyroscope; layout-animations; legacy-image-formats; magnetometer; microphone; midi; oversized-images; payment; picture-in-picture; publickey-credentials-get; sync-xhr; usb; vr ; wake-lock; xr-spatial-tracking" sandbox="allow-forms allow-modals allow-popups allow-popups-to-escape-sandbox allow-same-origin allow-scripts allow-downloads"></iframe> <p data-svelte-h="svelte-jylajh">Prova subito a utilizzare questa GUI con il tuo nome o con un altro input!</p> <p data-svelte-h="svelte-d8u4xy">Si noterà che in questa GUI, Gradio ha riconosciuto automaticamente il nome del parametro di input (<code>name</code>) | |
| e lo applica come etichetta in cima alla casella di testo. E se si volesse cambiarlo? | |
| O se si volesse personalizzare la casella di testo in qualche altro modo? In questo caso, si può | |
| istanziare una classe che rappresenti il componente in input.</p> <p data-svelte-h="svelte-4firqo">Si osservi l’esempio seguente:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" 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> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> gradio <span class="hljs-keyword">as</span> gr | |
| <span class="hljs-keyword">def</span> <span class="hljs-title function_">greet</span>(<span class="hljs-params">name</span>): | |
| <span class="hljs-keyword">return</span> <span class="hljs-string">"Hello "</span> + name | |
| <span class="hljs-comment"># We instantiate the Textbox class</span> | |
| textbox = gr.Textbox(label=<span class="hljs-string">"Type your name here:"</span>, placeholder=<span class="hljs-string">"John Doe"</span>, lines=<span class="hljs-number">2</span>) | |
| gr.Interface(fn=greet, inputs=textbox, outputs=<span class="hljs-string">"text"</span>).launch()<!-- HTML_TAG_END --></pre></div> <iframe src="https://course-demos-hello-world-custom.hf.space" frameborder="0" height="300" title="Gradio app" class="container p-0 flex-grow space-iframe" allow="accelerometer; ambient-light-sensor; autoplay; battery; camera; document-domain; encrypted-media; fullscreen; geolocation; gyroscope; layout-animations; legacy-image-formats; magnetometer; microphone; midi; oversized-images; payment; picture-in-picture; publickey-credentials-get; sync-xhr; usb; vr ; wake-lock; xr-spatial-tracking" sandbox="allow-forms allow-modals allow-popups allow-popups-to-escape-sandbox allow-same-origin allow-scripts allow-downloads"></iframe> <p data-svelte-h="svelte-eepfk">Qui abbiamo creato una casella di testo di input con un’etichetta (<code>label</code>), un segnaposto (<code>placeholder</code>) e un numero di righe stabilito (<code>lines</code>). | |
| Si potrebbe fare lo stesso per la casella di testo in output, ma per ora ci fermiamo qui.</p> <p data-svelte-h="svelte-1os2nng">Abbiamo visto che con poche righe di codice, Gradio consente di creare una semplice interfaccia intorno a qualsiasi funzione | |
| con qualsiasi tipo di input o output. In questa sezione abbiamo iniziato con una | |
| semplice casella di testo, ma nelle prossime sezioni tratteremo altri tipi di input e output. Vediamo ora di inserire un po’ di NLP in un’applicazione Gradio.</p> <h2 class="relative group"><a id="-includere-le-predizioni-del-modello" 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="#-includere-le-predizioni-del-modello"><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>🤖 Includere le predizioni del modello</span></h2> <p data-svelte-h="svelte-7iy06b">Costruiamo ora una semplice interfaccia che consenta di dimostrare come funziona un modello di <strong>generazione del testo</strong> come GPT-2.</p> <p data-svelte-h="svelte-1bodsle">Caricheremo il nostro modello usando la funzione <code>pipeline()</code> di 🤗 Transformers. | |
| Se hai bisogno di un rapido ripasso, puoi tornare a <a href="/course/chapter1/3#text-generation">quella sezione nel Capitolo 1</a>.</p> <p data-svelte-h="svelte-1uhkpc2">Per prima cosa, definiamo una funzione di predizione che riceve un prompt di testo e restituisce il testo completato:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" 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> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> pipeline | |
| model = pipeline(<span class="hljs-string">"text-generation"</span>) | |
| <span class="hljs-keyword">def</span> <span class="hljs-title function_">predict</span>(<span class="hljs-params">prompt</span>): | |
| completion = model(prompt)[<span class="hljs-number">0</span>][<span class="hljs-string">"generated_text"</span>] | |
| <span class="hljs-keyword">return</span> completion<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1jk4usz">Questa funzione completa le richieste fornite dall’utente e puoi eseguirla con qualche tuo input per vedere come funziona. Ecco un esempio (potresti ottenere un risultato diverso):</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" 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> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-function"><span class="hljs-title">predict</span><span class="hljs-params">(<span class="hljs-string">"My favorite programming language is"</span>)</span></span><!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" 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> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->>> My favorite programming language <span class="hljs-keyword">is</span> Haskell. I really enjoyed <span class="hljs-keyword">the</span> Haskell language, <span class="hljs-keyword">but</span> <span class="hljs-keyword">it</span> doesn't have all <span class="hljs-keyword">the</span> features <span class="hljs-keyword">that</span> can be applied <span class="hljs-keyword">to</span> any other language. For example, all <span class="hljs-keyword">it</span> <span class="hljs-keyword">does</span> <span class="hljs-keyword">is</span> compile <span class="hljs-keyword">to</span> a byte array.<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-kegr5g">Ora che abbiamo una funzione per generare previsioni, possiamo creare e lanciare una <code>Interface</code> nello stesso modo in cui abbiamo fatto prima:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" 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> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> gradio <span class="hljs-keyword">as</span> gr | |
| gr.Interface(fn=predict, inputs=<span class="hljs-string">"text"</span>, outputs=<span class="hljs-string">"text"</span>).launch()<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1tt2799">Ecco fatto! Ora è possibile utilizzare questa interfaccia per generare testo utilizzando il modello GPT-2 come mostrato qui sotto 🤯.</p> <iframe src="https://course-demos-gpt-2.hf.space" frameborder="0" height="300" title="Gradio app" class="container p-0 flex-grow space-iframe" allow="accelerometer; ambient-light-sensor; autoplay; battery; camera; document-domain; encrypted-media; fullscreen; geolocation; gyroscope; layout-animations; legacy-image-formats; magnetometer; microphone; midi; oversized-images; payment; picture-in-picture; publickey-credentials-get; sync-xhr; usb; vr ; wake-lock; xr-spatial-tracking" sandbox="allow-forms allow-modals allow-popups allow-popups-to-escape-sandbox allow-same-origin allow-scripts allow-downloads"></iframe> <p data-svelte-h="svelte-107ph84">Continua a leggere per scoprire come costruire altri tipi di demo con Gradio!</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/it/chapter9/2.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
| <script> | |
| { | |
| __sveltekit_u8ez91 = { | |
| assets: "/docs/course/pr_1069/it", | |
| base: "/docs/course/pr_1069/it", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/course/pr_1069/it/_app/immutable/entry/start.693d748d.js"), | |
| import("/docs/course/pr_1069/it/_app/immutable/entry/app.e9cfd099.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 50], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 24.1 kB
- Xet hash:
- d18b31199e9893f2e4dc5bb4259cad34f9b40ddaae27560088bb27af91e3a752
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.