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  <a target="_blank" href="https://papers.nips.cc/paper/2021/hash/41a60377ba920919939d83326ebee5a1-Abstract.html">Deep Learning in Open Collaborations</a>.
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  </p>
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- <p class="h2 mb-2">
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  How to participate in training?
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  </p>
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  <p class="mb-2">
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  <li>πŸ‘‰ Join the <a href="https://huggingface.co/CALM">NCAI-CALM Organization</a> on Huggingface through the invitation link shared with you by email.</li>
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  <li>πŸ‘‰ Get your Access Token, it's later required in the notebook.
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  <ul class="mb-2">
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- <li>πŸ‘‰ Go to your <a href="https://huggingface.co">HF account</a></li>
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- <li>πŸ‘‰ Go to Settings β‡’ Access Tokens</li>
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- <li>πŸ‘‰ Generate a new Access Token and enter any name for "what's this token for"</li>
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- <li>πŸ‘‰ Select <code>read</code> role</li>
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- <li>πŸ‘‰ Copy your access token</li>
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- <li>πŸ‘‰ Paste it in the execution prompt in the notebook</li>
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  </ul>
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  </li>
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  </ul>
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- <p class="h2 mb-2">
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  Start training
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  </p>
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  <p class="mb-2">Pick one of the following methods to run the training code.
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  <br /><em>NOTE: Kaggle gives you around 40 hrs per week of GPU time, so it's preferred over Colab, unless you have Colab Pro or Colab Pro+.</em></p>
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  <ul class="mb-2">
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- <li><span><a href="https://www.kaggle.com/prmais/volunteer-gpu-notebook">
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  <img style="display:inline;margin:0px" src="https://img.shields.io/badge/kaggle-Open%20in%20Kaggle-blue.svg"/>
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  </a></span> <b> (recommended)</b> <br />
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  </li>
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- <li> <span><a href="https://colab.research.google.com/github/NCAI-Research/CALM/blob/main/notebooks/volunteer-gpu-notebook.ipynb">
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  <img style="display:inline;margin:0px" src="https://colab.research.google.com/assets/colab-badge.svg"/>
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  </a></span>
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  </li>
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- <li>Running locally
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- <br />If you have additional local computing GPUs, please visit our discord channel for instructions to set it.
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  </li>
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  </ul>
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- <p class="h2 mb-2">
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  Issues or questions?
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  </p>
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  <a target="_blank" href="https://papers.nips.cc/paper/2021/hash/41a60377ba920919939d83326ebee5a1-Abstract.html">Deep Learning in Open Collaborations</a>.
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  </p>
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+ <p class="mb-2" style="font-size:20px;font-weight:bold">
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  How to participate in training?
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  </p>
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  <p class="mb-2">
 
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  <li>πŸ‘‰ Join the <a href="https://huggingface.co/CALM">NCAI-CALM Organization</a> on Huggingface through the invitation link shared with you by email.</li>
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  <li>πŸ‘‰ Get your Access Token, it's later required in the notebook.
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  <ul class="mb-2">
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+ <li> πŸ‘‰ Go to your <a href="https://huggingface.co">HF account</a></li>
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+ <li> πŸ‘‰ Go to Settings β‡’ Access Tokens</li>
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+ <li> πŸ‘‰ Generate a new Access Token and enter any name for "what's this token for"</li>
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+ <li> πŸ‘‰ Select <code>read</code> role</li>
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+ <li> πŸ‘‰ Copy your access token</li>
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+ <li> πŸ‘‰ Paste it in the execution prompt in the notebook</li>
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  </ul>
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  </li>
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  </ul>
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+ <p class="h2 mb-2" style="font-size:20px;font-weight:bold">
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  Start training
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  </p>
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  <p class="mb-2">Pick one of the following methods to run the training code.
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  <br /><em>NOTE: Kaggle gives you around 40 hrs per week of GPU time, so it's preferred over Colab, unless you have Colab Pro or Colab Pro+.</em></p>
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  <ul class="mb-2">
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+ <li>πŸ‘‰ <span><a href="https://www.kaggle.com/prmais/volunteer-gpu-notebook">
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  <img style="display:inline;margin:0px" src="https://img.shields.io/badge/kaggle-Open%20in%20Kaggle-blue.svg"/>
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  </a></span> <b> (recommended)</b> <br />
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  </li>
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+ <li>πŸ‘‰ <span><a href="https://colab.research.google.com/github/NCAI-Research/CALM/blob/main/notebooks/volunteer-gpu-notebook.ipynb">
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  <img style="display:inline;margin:0px" src="https://colab.research.google.com/assets/colab-badge.svg"/>
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  </a></span>
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  </li>
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+ <li>πŸ‘‰ Running locally: If you have additional local computing GPUs, please visit our discord channel for instructions to set it.
 
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  </li>
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  </ul>
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+ <p class="mb-2" style="font-size:20px;font-weight:bold">
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  Issues or questions?
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  </p>
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