{
  "id": 578102,
  "title": "Fva_l1 model",
  "url": "/competitions/waveform-inversion/discussion/578102",
  "author_name": "",
  "post_date": "2025-05-08T20:03:05.628551300Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hey just started this competition, just wondering how to load the model without knowing the architecture, or I might be missing something on how to use the pretrained models</p>",
  "messages": [
    {
      "id": "3197933",
      "postDate": "05/08/2025 20:03:05",
      "content": "<p>Hey just started this competition, just wondering how to load the model without knowing the architecture, or I might be missing something on how to use the pretrained models</p>",
      "rawMarkdown": "Hey just started this competition, just wondering how to load the model without knowing the architecture, or I might be missing something on how to use the pretrained models",
      "votes": null
    },
    {
      "id": "3202726",
      "postDate": "05/15/2025 19:57:46",
      "content": "<p>Hey, do you solve it? I assume that the pretrained models you said are the models that mentioned in OpenFWI paper. If that's the case the architectures are all on their github repo \"network.py\". Hope this help you.</p>",
      "rawMarkdown": "Hey, do you solve it? I assume that the pretrained models you said are the models that mentioned in OpenFWI paper. If that's the case the architectures are all on their github repo \"network.py\". Hope this help you.",
      "votes": null
    },
    {
      "id": "3205988",
      "postDate": "05/20/2025 17:33:31",
      "content": "<p>Yes I solved it but thank you for the comment</p>",
      "rawMarkdown": "Yes I solved it but thank you for the comment",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3202726,
      "author_name": "dan5280",
      "author_url": "",
      "post_date": "05/15/2025 19:57:46",
      "content": "<p>Hey, do you solve it? I assume that the pretrained models you said are the models that mentioned in OpenFWI paper. If that's the case the architectures are all on their github repo \"network.py\". Hope this help you.</p>",
      "votes": null,
      "replies": [
        {
          "id": 3205988,
          "author_name": "",
          "author_url": "",
          "post_date": "05/20/2025 17:33:31",
          "content": "<p>Yes I solved it but thank you for the comment</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3197933": "Hey just started this competition, just wondering how to load the model without knowing the architecture, or I might be missing something on how to use the pretrained models",
    "3202726": "Hey, do you solve it? I assume that the pretrained models you said are the models that mentioned in OpenFWI paper. If that's the case the architectures are all on their github repo \"network.py\". Hope this help you.",
    "3205988": "Yes I solved it but thank you for the comment"
  },
  "source": "meta"
}