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README.md
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<p class="lg:col-span-2">1 month (June 15 to July 15) group to share Vision and Text pre-trained fastai Learners with the community for further community usage and reproducibility.</p>
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<details class="lg:col-span-2">
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Why? Community, collaboration, and reproducibility</h2>
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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" target="_blank" style="text-decoration: underline">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">Say “Hi!” in the <a href="https://discord.gg/eXgFp5FRsz" target="_blank" style="text-decoration: underline">hf-fastai channel</a> in the fastai Discord server (kudos Wayde Gilliam). Servers are places where a community can interact via channels for specific topics.</li>
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<li class="my-4">Create a Gradio demo to showcase your model. <a href="https://huggingface.co/course/chapter9/1?fw=pt" target="_blank" style="text-decoration: underline">Here is a tutorial</a> in the Hugging Face course, and the next iteration of the fastai course will include a section on sharing with Gradio.</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">SWAG and prizes</h2>
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</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" target="_blank" style="text-decoration: underline">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">Say “Hi!” in the <a href="https://discord.gg/eXgFp5FRsz" target="_blank" style="text-decoration: underline">hf-fastai channel</a> in the fastai Discord server (kudos Wayde Gilliam). Servers are places where a community can interact via channels for specific topics.</li>
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<li class="my-4">Create a Gradio demo to showcase your model. <a href="https://huggingface.co/course/chapter9/1?fw=pt" target="_blank" style="text-decoration: underline">Here is a tutorial</a> in the Hugging Face course, and the next iteration of the fastai course will include a section on sharing with Gradio.</li>
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</ul>
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<details class="lg:col-span-2">
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Goal</h2>
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<p class="lg:col-span-2">1 month (June 15 to July 15) group to share Vision and Text pre-trained fastai Learners with the community for further community usage and reproducibility.</p>
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<br />
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Why? Community, collaboration, and reproducibility</h2>
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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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<br />
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<h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">SWAG and prizes</h2>
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