Spaces:
Running
Running
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README.md
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<p class="lg:col-span-2"> We believe in openly sharing knowledge and resources to democratize AI for all. At Hugging Face, we encourage all practitioners who train models to contribute by sharing them with the community. Even when trained on particular data sets, sharing Learners will help others save time and computing resources, and give them access to valuable trained artifacts. In turn, you can benefit from the work that others have done. Additionally, shared Learners can be replicated by other community members through, for example, the inference API or repository cloning. </p>
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">What is Hugging Face Spaces?</h2>
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<p class="lg:col-span-2">Spaces are a simple way to host ML demo apps directly on your profile or your organization’s profile on Hugging Face. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem. Learn more about spaces <a href="https://huggingface.co/docs/hub/spaces" style="text-decoration: underline">here</a>.</p>
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<p class="lg:col-span-2"> We believe in openly sharing knowledge and resources to democratize AI for all. At Hugging Face, we encourage all practitioners who train models to contribute by sharing them with the community. Even when trained on particular data sets, sharing Learners will help others save time and computing resources, and give them access to valuable trained artifacts. In turn, you can benefit from the work that others have done. Additionally, shared Learners can be replicated by other community members through, for example, the inference API or repository cloning. </p>
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">What should I do?</h2>
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<p class="lg:col-span-2"> <a href="https://colab.research.google.com/github/huggingface/blog/blob/main/notebooks/64_fastai_hub.ipynb">This tutorial</a> shows how to share and load Learners (including those created with blurr) to and from the Hugging Face Hub. </p>
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<ul class="lg:col-span-2" style="list-style: circle inside">
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<li class="my-4">Group together related demos as multiple tabs in one web app</li>
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<li class="my-4">Change the layout of your demo instead of just having all of the inputs on the left and outputs on the right</li>
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<li class="my-4">Have multi-step interfaces, in which the output of one model becomes the input to the next model, or have more flexible data flows in general</li>
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<li class="my-4">Change a component's properties (for example, the choices in a Dropdown) or its visibilty based on user input</li>
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</ul>
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">What is Hugging Face Spaces?</h2>
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<p class="lg:col-span-2">Spaces are a simple way to host ML demo apps directly on your profile or your organization’s profile on Hugging Face. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem. Learn more about spaces <a href="https://huggingface.co/docs/hub/spaces" style="text-decoration: underline">here</a>.</p>
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