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  <li class="my-4"><strong>Train a vision or text fastai Learner.</strong> You can use an already pre-trained model from the Hugging Face Hub.</li>
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  <li class="my-4"><strong>Share the trained Learner</strong> through the Hub. <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). Please, share it to the hugginglearners organization. You can use the <a href="https://docs.fast.ai/huggingface.html#Sharing-a-Learner-to-the-Hub" target="_blank" style="text-decoration: underline">push_to_hub_fastai</a> function like this <strong>push_to_hub_fastai(learn, "hugginglearners/pokemon_classifier")</strong>. Remember to describe your model in the <a href="https://huggingface.co/docs/hub/model-repos" target="_blank" style="text-decoration: underline">model card</a>.</li>
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  <li class="my-4"><strong>Create a Gradio demo</strong> 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>; the next iteration of the fastai course will include a section on sharing with Gradio.</li>
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- <li class="my-4"><strong><a href="https://wandb.ai/site" target="_blank" style="text-decoration: underline">Weights & Biases SWAG?</a></strong> - Add a training log and share your results with an analysis of the choices you made in your Model Card</li>
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  </ul>
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  <li class="my-4"><a href="https://www.youtube.com/watch?v=MDX_x6rKXAs&list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9&index=10" target="_blank" style="text-decoration: underline"><strong>The fast.ai NLP Course</strong></a>. Lightweight language models for languages ​​other than English.</li>
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  <li class="my-4"><a href="https://github.com/ohmeow/blurr" target="_blank" style="text-decoration: underline"><strong>NLP models powered by 🤗 Transformers and fastai</strong></a>. Use blurr to train Learners for Sequence Classification (multiclassification and multi-label classification), Token Classification, Question Answering, Summarization, Tranlsation and Language Modeling. <a href="https://colab.research.google.com/github/huggingface/blog/blob/main/notebooks/64_fastai_hub.ipynb" target="_blank" style="text-decoration: underline">Here is a tutorial</a> on how to share your blurr Learners to the Hub.</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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- <ul class="lg:col-span-2" style="list-style: circle inside">
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- <li class="my-4">Participants that share at least two Learners with their respective Gradio Space will get a voucher to acquire the official Study Group t-shirt in the Hugging Face merch store. The graphic design will be defined soon.</li>
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- <li class="my-4">All participants: fastai x Hugging Face event badge on HF.</li>
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- <li class="my-4">Top 10 Gradio Spaces based on likes: Hugging Face PRO subscription for 1 month</li>
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- </ul>
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- <br />
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  <h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Ask for help</h2>
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  <p class="lg:col-span-2"> Please ask in the <a href="https://discord.gg/eXgFp5FRsz" target="_blank" style="text-decoration: underline">hf-fastai channel</a> in the fast.ai Discord.</p>
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  <br />
 
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  <li class="my-4"><strong>Train a vision or text fastai Learner.</strong> You can use an already pre-trained model from the Hugging Face Hub.</li>
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  <li class="my-4"><strong>Share the trained Learner</strong> through the Hub. <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). Please, share it to the hugginglearners organization. You can use the <a href="https://docs.fast.ai/huggingface.html#Sharing-a-Learner-to-the-Hub" target="_blank" style="text-decoration: underline">push_to_hub_fastai</a> function like this <strong>push_to_hub_fastai(learn, "hugginglearners/pokemon_classifier")</strong>. Remember to describe your model in the <a href="https://huggingface.co/docs/hub/model-repos" target="_blank" style="text-decoration: underline">model card</a>.</li>
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  <li class="my-4"><strong>Create a Gradio demo</strong> 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>; the next iteration of the fastai course will include a section on sharing with Gradio.</li>
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+ <li class="my-4"><strong><a href="https://wandb.ai/site" target="_blank" style="text-decoration: underline">[OPTIONAL] Weights & Biases Track</a></strong> - Add a training log and share your results with an analysis of the choices you made in your Model Card. We will announce SWAG soon.</li>
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  </ul>
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  <br />
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  <li class="my-4"><a href="https://www.youtube.com/watch?v=MDX_x6rKXAs&list=PLtmWHNX-gukKocXQOkQjuVxglSDYWsSh9&index=10" target="_blank" style="text-decoration: underline"><strong>The fast.ai NLP Course</strong></a>. Lightweight language models for languages ​​other than English.</li>
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  <li class="my-4"><a href="https://github.com/ohmeow/blurr" target="_blank" style="text-decoration: underline"><strong>NLP models powered by 🤗 Transformers and fastai</strong></a>. Use blurr to train Learners for Sequence Classification (multiclassification and multi-label classification), Token Classification, Question Answering, Summarization, Tranlsation and Language Modeling. <a href="https://colab.research.google.com/github/huggingface/blog/blob/main/notebooks/64_fastai_hub.ipynb" target="_blank" style="text-decoration: underline">Here is a tutorial</a> on how to share your blurr Learners to the Hub.</li>
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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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+ <ul class="lg:col-span-2" style="list-style: circle inside">
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+ <li class="my-4">Participants that share at least two Learners with their respective Gradio Space will get a voucher to acquire the official Study Group t-shirt in the Hugging Face merch store. The graphic design will be defined soon.</li>
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+ <li class="my-4">All participants: fastai x Hugging Face event badge on HF.</li>
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+ <li class="my-4">Top 10 Gradio Spaces based on likes: Hugging Face PRO subscription for 1 month. We will soon activate a leaderboard to track the likes.</li>
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+ <li class="my-4">More soon!</li>
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+ </ul>
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  </ul>
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  <h3 class="my-8 lg:col-span-2" style="font-size:20px; font-weight:bold">Ask for help</h2>
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  <p class="lg:col-span-2"> Please ask in the <a href="https://discord.gg/eXgFp5FRsz" target="_blank" style="text-decoration: underline">hf-fastai channel</a> in the fast.ai Discord.</p>
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