{
  "id": 139699,
  "title": "Is everyone okay with external data capacity?",
  "url": "/competitions/deepfake-detection-challenge/discussion/139699",
  "author_name": "",
  "post_date": "2020-03-29T21:43:03.342041100Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Is everyone okay with external data capacity?????\nCould you increase the external data capacity to 2GB? \nEven though the model is light, I can't put it in because there are many.</p>",
  "messages": [
    {
      "id": "790812",
      "postDate": "03/29/2020 21:43:03",
      "content": "<p>Is everyone okay with external data capacity?????\nCould you increase the external data capacity to 2GB? \nEven though the model is light, I can't put it in because there are many.</p>",
      "rawMarkdown": "Is everyone okay with external data capacity?????\nCould you increase the external data capacity to 2GB? \nEven though the model is light, I can't put it in because there are many.",
      "votes": null
    },
    {
      "id": "790828",
      "postDate": "03/29/2020 22:02:52",
      "content": "<p>You can save some space by creating the model in your code and loading only the weights. Naturally, you need to save only the weights... </p>",
      "rawMarkdown": "You can save some space by creating the model in your code and loading only the weights. Naturally, you need to save only the weights...",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 790828,
      "author_name": "moshel",
      "author_url": "",
      "post_date": "03/29/2020 22:02:52",
      "content": "<p>You can save some space by creating the model in your code and loading only the weights. Naturally, you need to save only the weights... </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "790812": "Is everyone okay with external data capacity?????\nCould you increase the external data capacity to 2GB? \nEven though the model is light, I can't put it in because there are many.",
    "790828": "You can save some space by creating the model in your code and loading only the weights. Naturally, you need to save only the weights..."
  },
  "source": "meta"
}