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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>[OPTIONAL] <a href="https://wandb.ai/site" target="_blank" style="text-decoration: underline">Weights & Biases Track</a></strong> - Add a training log (you can use a href="shields.io" target="_blank" style="text-decoration: underline">shields.io</a> to add a badge) and share your results with an analysis of the choices you made in your Model Card. There will be W&B surprises for the most interesting reports 👚.</li>
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  </ul>
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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>[OPTIONAL] <a href="https://wandb.ai/site" target="_blank" style="text-decoration: underline">Weights & Biases </a>Track</strong> - Add a training log (you can use <a href="shields.io" target="_blank" style="text-decoration: underline">shields.io</a> to add a badge) and share your results with an analysis of the choices you made in your Model Card. There will be W&B surprises for the most interesting reports 👚.</li>
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  </ul>
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