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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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    <h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Why? Community, collaboration, and reproducibility</h2>
    <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">More About Gradio</h3>
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+      <h3  class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">More About Gradio</h3>
    <p class="lg:col-span-2">
      Gradio is a Python library that allows you to quickly build web-based machine learning demos, data science dashboards, or other kinds of web apps, entirely in Python. These web apps can be launched from wherever you use Python (jupyter notebooks, colab notebooks, Python terminal, etc.) and shared with anyone instantly using Gradio's auto-generated share links. To learn more about Gradio see the Getting Started Guide:  <a href="https://gradio.app/getting_started/" target="_blank" style="text-decoration: underline">https://gradio.app/getting_started/</a> and the new Course on Huggingface about Gradio:  <a href="https://huggingface.co/course/chapter9/1?fw=pt" style="text-decoration: underline" target="_blank">Gradio Course</a>.
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