Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Using AllenNLP at Hugging Face","local":"using-allennlp-at-hugging-face","sections":[{"title":"Exploring allennlp in the Hub","local":"exploring-allennlp-in-the-hub","sections":[],"depth":2},{"title":"Using existing models","local":"using-existing-models","sections":[],"depth":2},{"title":"Sharing your models","local":"sharing-your-models","sections":[{"title":"Using the AllenNLP CLI","local":"using-the-allennlp-cli","sections":[],"depth":3},{"title":"From a Python script","local":"from-a-python-script","sections":[],"depth":3}],"depth":2},{"title":"Additional resources","local":"additional-resources","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/hub/pr_2521/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/entry/start.d19e5ca7.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/scheduler.409792a1.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/singletons.1ece723a.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/index.0f0d9f26.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/paths.a67d9216.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/entry/app.98ab229a.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/preload-helper.78e52d9f.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/index.92d389ff.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/nodes/0.7799902b.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/nodes/14.f6f13040.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/CopyLLMTxtMenu.dcf7fb47.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.0c189c7e.js"> | |
| <link rel="modulepreload" href="/docs/hub/pr_2521/en/_app/immutable/chunks/CodeBlock.5ed269c1.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Using AllenNLP at Hugging Face","local":"using-allennlp-at-hugging-face","sections":[{"title":"Exploring allennlp in the Hub","local":"exploring-allennlp-in-the-hub","sections":[],"depth":2},{"title":"Using existing models","local":"using-existing-models","sections":[],"depth":2},{"title":"Sharing your models","local":"sharing-your-models","sections":[{"title":"Using the AllenNLP CLI","local":"using-the-allennlp-cli","sections":[],"depth":3},{"title":"From a Python script","local":"from-a-python-script","sections":[],"depth":3}],"depth":2},{"title":"Additional resources","local":"additional-resources","sections":[],"depth":2}],"depth":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 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm 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 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" 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-7 max-sm:h-7 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 sm:size-3.5 size-3 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="using-allennlp-at-hugging-face" 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="#using-allennlp-at-hugging-face"><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>Using AllenNLP at Hugging Face</span></h1> <p data-svelte-h="svelte-1tc5qpk"><code>allennlp</code> is a NLP library for developing state-of-the-art models on different linguistic tasks. It provides high-level abstractions and APIs for common components and models in modern NLP. It also provides an extensible framework that makes it easy to run and manage NLP experiments.</p> <h2 class="relative group"><a id="exploring-allennlp-in-the-hub" 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="#exploring-allennlp-in-the-hub"><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>Exploring allennlp in the Hub</span></h2> <p data-svelte-h="svelte-ecdl6z">You can find <code>allennlp</code> models on the Hub by filtering at the left of the <a href="https://huggingface.co/models?library=allennlp" rel="nofollow">models page</a>.</p> <p data-svelte-h="svelte-1cb4j6">All models on the Hub come up with useful features</p> <ol data-svelte-h="svelte-1yrrhzn"><li>A training metrics tab with automatically hosted TensorBoard traces.</li> <li>Metadata tags that help for discoverability.</li> <li>An interactive widget you can use to play out with the model directly in the browser.</li> <li>An Inference Providers widget that allows to make inference requests.</li></ol> <div class="flex justify-center" data-svelte-h="svelte-mrfv2b"><img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/libraries-allennlp_widget.png"> <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/libraries-allennlp_widget-dark.png"></div> <h2 class="relative group"><a id="using-existing-models" 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="#using-existing-models"><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>Using existing models</span></h2> <p data-svelte-h="svelte-fnolld">You can use the <code>Predictor</code> class to load existing models on the Hub. To achieve this, use the <code>from_path</code> method and use the <code>"hf://"</code> prefix with the repository id. Here is an end-to-end example.</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="language-py "><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> allennlp_models | |
| <span class="hljs-keyword">from</span> allennlp.predictors.predictor <span class="hljs-keyword">import</span> Predictor | |
| predictor = Predictor.from_path(<span class="hljs-string">"hf://allenai/bidaf-elmo"</span>) | |
| predictor_input = { | |
| <span class="hljs-string">"passage"</span>: <span class="hljs-string">"My name is Wolfgang and I live in Berlin"</span>, | |
| <span class="hljs-string">"question"</span>: <span class="hljs-string">"Where do I live?"</span> | |
| } | |
| predictions = predictor.predict_json(predictor_input)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-hy7cdn">To get a snippet such as this, you can click <code>Use in AllenNLP</code> at the top right,</p> <div class="flex justify-center" data-svelte-h="svelte-1qc3bvx"><img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/libraries-allennlp_snippet.png"> <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/libraries-allennlp_snippet-dark.png"></div> <h2 class="relative group"><a id="sharing-your-models" 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="#sharing-your-models"><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>Sharing your models</span></h2> <p data-svelte-h="svelte-xht9io">The first step is to save the model locally. For example, you can use the <a href="https://docs.allennlp.org/main/api/models/archival/#archive_model" rel="nofollow"><code>archive_model</code></a> method to save the model as a <code>model.tar.gz</code> file. You can then push the zipped model to the Hub. When you train a model with <code>allennlp</code>, the model is automatically serialized so you can use that as a preferred option.</p> <h3 class="relative group"><a id="using-the-allennlp-cli" 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="#using-the-allennlp-cli"><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>Using the AllenNLP CLI</span></h3> <p data-svelte-h="svelte-1po7r9a">To push with the CLI, you can use the <code>allennlp push_to_hf</code> command as seen below.</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="language-bash "><!-- HTML_TAG_START -->allennlp push_to_hf --repo_name test_allennlp --archive_path model <!-- HTML_TAG_END --></pre></div> <table data-svelte-h="svelte-44gd8g"><thead><tr><th>Argument</th> <th>Type</th> <th>Description</th></tr></thead> <tbody><tr><td><code>--repo_name</code>, <code>-n</code></td> <td>str / <code>Path</code></td> <td>Name of the repository on the Hub.</td></tr> <tr><td><code>--organization</code>, <code>-o</code></td> <td>str</td> <td>Optional name of organization to which the pipeline should be uploaded.</td></tr> <tr><td><code>--serialization-dir</code>, <code>-s</code></td> <td>str / <code>Path</code></td> <td>Path to directory with the serialized model.</td></tr> <tr><td><code>--archive-path</code>, <code>-a</code></td> <td>str / <code>Path</code></td> <td>If instead of a serialization path you’re using a zipped model (e.g. model/model.tar.gz), you can use this flag.</td></tr> <tr><td><code>--local-repo-path</code>, <code>-l</code></td> <td>str / <code>Path</code></td> <td>Local path to the model repository (will be created if it doesn’t exist). Defaults to <code>hub</code> in the current working directory.</td></tr> <tr><td><code>--commit-message</code>, <code>-c</code></td> <td>str</td> <td>Commit message to use for update. Defaults to <code>"update repository"</code>.</td></tr></tbody></table> <h3 class="relative group"><a id="from-a-python-script" 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="#from-a-python-script"><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>From a Python script</span></h3> <p data-svelte-h="svelte-1x8wg2s">The <code>push_to_hf</code> function has the same parameters as the bash script.</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="language-py "><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> allennlp.common.push_to_hf <span class="hljs-keyword">import</span> push_to_hf | |
| serialization_dir = <span class="hljs-string">"path/to/serialization/directory"</span> | |
| push_to_hf( | |
| repo_name=<span class="hljs-string">"my_repo_name"</span>, | |
| serialization_dir=serialization_dir, | |
| local_repo_path=self.local_repo_path | |
| )<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1iyic87">In just a minute, you can get your model in the Hub, try it out directly in the browser, and share it with the rest of the community. All the required metadata will be uploaded for you!</p> <h2 class="relative group"><a id="additional-resources" 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="#additional-resources"><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>Additional resources</span></h2> <ul data-svelte-h="svelte-cl62ui"><li>AllenNLP <a href="https://allenai.org/allennlp" rel="nofollow">website</a>.</li> <li>AllenNLP <a href="https://github.com/allenai/allennlp" rel="nofollow">repository</a>.</li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/hub-docs/blob/main/docs/hub/allennlp.md" 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_1bollga = { | |
| assets: "/docs/hub/pr_2521/en", | |
| base: "/docs/hub/pr_2521/en", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/hub/pr_2521/en/_app/immutable/entry/start.d19e5ca7.js"), | |
| import("/docs/hub/pr_2521/en/_app/immutable/entry/app.98ab229a.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 14], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 23.9 kB
- Xet hash:
- ad1604d36bd7ed9edd2b1cb5d006732d9134f3ad28ea24e3588bbd45fde96353
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.