{
  "id": 566794,
  "title": "Fine-tune a pre-trained model for RNA 3D Folding with MultiMolecule",
  "url": "/competitions/stanford-rna-3d-folding/discussion/566794",
  "author_name": "Zhiyuan Chen",
  "post_date": "2025-03-06T21:19:52.228000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>This notebook offers a quick and efficient way to fine-tune a pre-trained model for RNA 3D folding prediction.</p>\n<p>You can check it out here: <a href=\"https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule\" target=\"_blank\">https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule</a></p>\n<p>To get started, simply replace the <code>pretrained</code> argument in the <code>MultiMoleculeConfig</code> constructor with any model from our <a href=\"https://huggingface.co/multimolecule\" target=\"_blank\">model hub</a>, and you’ll be ready to train in just a few seconds.</p>\n<p>Stay tuned for updates on how to customize the prediction head!</p>",
  "messages": [
    {
      "id": 3143033,
      "postDate": "2025-03-06T21:19:52.227Z",
      "content": "<p>This notebook offers a quick and efficient way to fine-tune a pre-trained model for RNA 3D folding prediction.</p>\n<p>You can check it out here: <a href=\"https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule\" target=\"_blank\">https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule</a></p>\n<p>To get started, simply replace the <code>pretrained</code> argument in the <code>MultiMoleculeConfig</code> constructor with any model from our <a href=\"https://huggingface.co/multimolecule\" target=\"_blank\">model hub</a>, and you’ll be ready to train in just a few seconds.</p>\n<p>Stay tuned for updates on how to customize the prediction head!</p>",
      "rawMarkdown": "This notebook offers a quick and efficient way to fine-tune a pre-trained model for RNA 3D folding prediction.\n\nYou can check it out here: [https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule](https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule)\n\nTo get started, simply replace the `pretrained` argument in the `MultiMoleculeConfig` constructor with any model from our [model hub](https://huggingface.co/multimolecule), and you’ll be ready to train in just a few seconds.\n\nStay tuned for updates on how to customize the prediction head!",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3143033": "This notebook offers a quick and efficient way to fine-tune a pre-trained model for RNA 3D folding prediction.\n\nYou can check it out here: [https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule](https://www.kaggle.com/code/zhichan/train-for-rna-3d-folding-with-multimolecule)\n\nTo get started, simply replace the `pretrained` argument in the `MultiMoleculeConfig` constructor with any model from our [model hub](https://huggingface.co/multimolecule), and you’ll be ready to train in just a few seconds.\n\nStay tuned for updates on how to customize the prediction head!"
  }
}