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	<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Using PaddleNLP at Hugging Face","local":"using-paddlenlp-at-hugging-face","sections":[{"title":"Exploring PaddleNLP in the Hub","local":"exploring-paddlenlp-in-the-hub","sections":[],"depth":2},{"title":"Installation","local":"installation","sections":[],"depth":2},{"title":"Using existing models","local":"using-existing-models","sections":[],"depth":2},{"title":"Sharing your models","local":"sharing-your-models","sections":[],"depth":2},{"title":"Additional resources","local":"additional-resources","sections":[],"depth":2}],"depth":1}">
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	<link rel="modulepreload" href="/docs/hub/main/en/_app/immutable/chunks/EditOnGithub.da2b595c.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Using PaddleNLP at Hugging Face","local":"using-paddlenlp-at-hugging-face","sections":[{"title":"Exploring PaddleNLP in the Hub","local":"exploring-paddlenlp-in-the-hub","sections":[],"depth":2},{"title":"Installation","local":"installation","sections":[],"depth":2},{"title":"Using existing models","local":"using-existing-models","sections":[],"depth":2},{"title":"Sharing your models","local":"sharing-your-models","sections":[],"depth":2},{"title":"Additional resources","local":"additional-resources","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <p data-svelte-h="svelte-2rpf42"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/PaddleNLP-logo.png" alt="paddlenlp-banner"></p> <h1 class="relative group"><a id="using-paddlenlp-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-paddlenlp-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 PaddleNLP at Hugging Face</span></h1> <p data-svelte-h="svelte-1gy6hp">Leveraging the <a href="https://github.com/PaddlePaddle/Paddle" rel="nofollow">PaddlePaddle</a> framework, <a href="https://github.com/PaddlePaddle/PaddleNLP" rel="nofollow"><code>PaddleNLP</code></a> is an easy-to-use and powerful NLP library with awesome pre-trained model zoo, supporting wide-range of NLP tasks from research to industrial applications.</p> <h2 class="relative group"><a id="exploring-paddlenlp-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-paddlenlp-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 PaddleNLP in the Hub</span></h2> <p data-svelte-h="svelte-1vt2ai">You can find <code>PaddleNLP</code> models by filtering at the left of the <a href="https://huggingface.co/models?library=paddlenlp&sort=downloads" rel="nofollow">models page</a>.</p> <p data-svelte-h="svelte-t2majo">All models on the Hub come up with the following features:</p> <div class="flex justify-center" data-svelte-h="svelte-k0otbl"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/PaddleNLP-5.jpg"></div> <ol data-svelte-h="svelte-vy839m"><li>An automatically generated model card with a brief description and 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></ol> <div class="flex justify-center" data-svelte-h="svelte-1qrnd7j"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/PaddleNLP.jpg"></div> <ol start="3" data-svelte-h="svelte-h28n2w"><li>An Inference API that allows to make inference requests.</li></ol> <div class="flex justify-center" data-svelte-h="svelte-9jgpkr"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/PaddleNLP-3.jpg"></div> <ol start="4" data-svelte-h="svelte-19f76rk"><li>Easily deploy your model as a Gradio app on Spaces.</li></ol> <div class="flex justify-center" data-svelte-h="svelte-h2ungo"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/PaddleNLP-4.jpg"></div> <h2 class="relative group"><a id="installation" 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="#installation"><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>Installation</span></h2> <p data-svelte-h="svelte-1o44o85">To get started, you can follow <a href="https://www.paddlepaddle.org.cn/en/install" rel="nofollow">PaddlePaddle Quick Start</a> to install the PaddlePaddle Framework with your favorite OS, Package Manager and Compute Platform.</p> <p data-svelte-h="svelte-5hwvss"><code>paddlenlp</code> offers a quick one-line install through pip:</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 -->pip <span class="hljs-keyword">install</span> -U paddlenlp<!-- HTML_TAG_END --></pre></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-15fpzgh">Similar to <code>transformer</code> models, the <code>paddlenlp</code> library provides a simple one-liner to load models from the Hugging Face Hub by setting <code>from_hf_hub=True</code>! Depending on how you want to use them, you can use the high-level API using the <code>Taskflow</code> function or you can use <code>AutoModel</code> and <code>AutoTokenizer</code> for more control.</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-comment"># Taskflow provides a simple end-to-end capability and a more optimized experience for inference</span>
	<span class="hljs-keyword">from</span> paddlenlp.transformers <span class="hljs-keyword">import</span> Taskflow
	taskflow = Taskflow(<span class="hljs-string">"fill-mask"</span>, task_path=<span class="hljs-string">"PaddlePaddle/ernie-1.0-base-zh"</span>, from_hf_hub=<span class="hljs-literal">True</span>)

	<span class="hljs-comment"># If you want more control, you will need to define the tokenizer and model.</span>
	<span class="hljs-keyword">from</span> paddlenlp.transformers <span class="hljs-keyword">import</span> AutoTokenizer, AutoModelForMaskedLM
	tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">"PaddlePaddle/ernie-1.0-base-zh"</span>, from_hf_hub=<span class="hljs-literal">True</span>)
	model = AutoModelForMaskedLM.from_pretrained(<span class="hljs-string">"PaddlePaddle/ernie-1.0-base-zh"</span>, from_hf_hub=<span class="hljs-literal">True</span>)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1kozwf6">If you want to see how to load a specific model, you can click <code>Use in paddlenlp</code> and you will be given a working snippet that you can load it!</p> <div class="flex justify-center" data-svelte-h="svelte-2n8wid"><img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/PaddleNLP-1.jpg"></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-9l78ri">You can share your <code>PaddleNLP</code> models by using the <code>save_to_hf_hub</code> method under all <code>Model</code> and <code>Tokenizer</code> classes.</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> paddlenlp.transformers <span class="hljs-keyword">import</span> AutoTokenizer, AutoModelForMaskedLM

	tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">"PaddlePaddle/ernie-1.0-base-zh"</span>, from_hf_hub=<span class="hljs-literal">True</span>)
	model = AutoModelForMaskedLM.from_pretrained(<span class="hljs-string">"PaddlePaddle/ernie-1.0-base-zh"</span>, from_hf_hub=<span class="hljs-literal">True</span>)

	tokenizer.save_to_hf_hub(repo_id=<span class="hljs-string">"<my_org_name>/<my_repo_name>"</span>)
	model.save_to_hf_hub(repo_id=<span class="hljs-string">"<my_org_name>/<my_repo_name>"</span>)<!-- HTML_TAG_END --></pre></div> <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-e0re9y"><li>PaddlePaddle Installation <a href="https://www.paddlepaddle.org.cn/en/install" rel="nofollow">guide</a>.</li> <li>PaddleNLP <a href="https://github.com/PaddlePaddle/PaddleNLP" rel="nofollow">GitHub Repo</a>.</li> <li><a href="https://huggingface.co/PaddlePaddle" rel="nofollow">PaddlePaddle on the Hugging Face Hub</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/paddlenlp.md" 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>

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