{
  "id": 471031,
  "title": "Downloading and using pretrained models.",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/471031",
  "author_name": "",
  "post_date": "2024-01-26T17:00:08.087904600Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hey, I'm new in this competition and would like to validate whether this notebook explanation is any good for installing pre-trained models into your Kaggle notebook without using the internet. Would be nice if there is a notebook that explicitly explains this for:</p>\n<ul>\n<li><a href=\"https://keras.io/api/applications/\" target=\"_blank\">https://keras.io/api/applications/</a></li>\n<li><a href=\"https://pytorch.org/vision/stable/models.html\" target=\"_blank\">https://pytorch.org/vision/stable/models.html</a></li>\n</ul>\n<p>I see that this notebook explains a part of the procedure:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/jiny333/creating-whl-files-to-install-external-libraries\" target=\"_blank\">https://www.kaggle.com/code/jiny333/creating-whl-files-to-install-external-libraries</a></li>\n</ul>",
  "messages": [
    {
      "id": "2621276",
      "postDate": "01/26/2024 17:00:08",
      "content": "<p>Hey, I'm new in this competition and would like to validate whether this notebook explanation is any good for installing pre-trained models into your Kaggle notebook without using the internet. Would be nice if there is a notebook that explicitly explains this for:</p>\n<ul>\n<li><a href=\"https://keras.io/api/applications/\" target=\"_blank\">https://keras.io/api/applications/</a></li>\n<li><a href=\"https://pytorch.org/vision/stable/models.html\" target=\"_blank\">https://pytorch.org/vision/stable/models.html</a></li>\n</ul>\n<p>I see that this notebook explains a part of the procedure:</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/jiny333/creating-whl-files-to-install-external-libraries\" target=\"_blank\">https://www.kaggle.com/code/jiny333/creating-whl-files-to-install-external-libraries</a></li>\n</ul>",
      "rawMarkdown": "Hey, I'm new in this competition and would like to validate whether this notebook explanation is any good for installing pre-trained models into your Kaggle notebook without using the internet. Would be nice if there is a notebook that explicitly explains this for:\n\n* https://keras.io/api/applications/\n* https://pytorch.org/vision/stable/models.html\n\nI see that this notebook explains a part of the procedure:\n* https://www.kaggle.com/code/jiny333/creating-whl-files-to-install-external-libraries",
      "votes": null
    },
    {
      "id": "2621290",
      "postDate": "01/26/2024 17:16:46",
      "content": "<p><a href=\"https://www.kaggle.com/stefanoclss\" target=\"_blank\">@stefanoclss</a> </p>\n<blockquote>\n  <p>huggingface-cli download bert-base-uncased =&gt; download pre-trained models from hugging face</p>\n</blockquote>\n<hr>\n<blockquote>\n  <p>Download pre-trained models in a notebook =&gt; convert notebook output or create new data =&gt; import new data for the offline notebook.</p>\n</blockquote>",
      "rawMarkdown": "stefanoclss \n>  huggingface-cli download bert-base-uncased => download pre-trained models from hugging face\n\n---\n> Download pre-trained models in a notebook => convert notebook output or create new data => import new data for the offline notebook.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2621290,
      "author_name": "seshurajup",
      "author_url": "",
      "post_date": "01/26/2024 17:16:46",
      "content": "<p><a href=\"https://www.kaggle.com/stefanoclss\" target=\"_blank\">@stefanoclss</a> </p>\n<blockquote>\n  <p>huggingface-cli download bert-base-uncased =&gt; download pre-trained models from hugging face</p>\n</blockquote>\n<hr>\n<blockquote>\n  <p>Download pre-trained models in a notebook =&gt; convert notebook output or create new data =&gt; import new data for the offline notebook.</p>\n</blockquote>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2621276": "Hey, I'm new in this competition and would like to validate whether this notebook explanation is any good for installing pre-trained models into your Kaggle notebook without using the internet. Would be nice if there is a notebook that explicitly explains this for:\n\n* https://keras.io/api/applications/\n* https://pytorch.org/vision/stable/models.html\n\nI see that this notebook explains a part of the procedure:\n* https://www.kaggle.com/code/jiny333/creating-whl-files-to-install-external-libraries",
    "2621290": "stefanoclss \n>  huggingface-cli download bert-base-uncased => download pre-trained models from hugging face\n\n---\n> Download pre-trained models in a notebook => convert notebook output or create new data => import new data for the offline notebook."
  },
  "source": "meta"
}