{
  "id": 361141,
  "title": "Is there any limitation in model size?",
  "url": "/competitions/rsna-2022-cervical-spine-fracture-detection/discussion/361141",
  "author_name": "",
  "post_date": "2022-10-20T02:12:13.518384100Z",
  "votes": 5,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I tried to load a .tph model of size 450MB and receive an   URLError: .<br>\nIn the beggining i receive /opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)<br>\n   1349                 h.request(req.get_method(), req.selector, req.data, headers,<br>\n-&gt; 1350                           encode_chunked=req.has_header('Transfer-encoding'))<br>\n   1351             except OSError as err: # timeout error</p>",
  "messages": [
    {
      "id": "1995993",
      "postDate": "10/20/2022 02:12:13",
      "content": "<p>I tried to load a .tph model of size 450MB and receive an   URLError: .<br>\nIn the beggining i receive /opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)<br>\n   1349                 h.request(req.get_method(), req.selector, req.data, headers,<br>\n-&gt; 1350                           encode_chunked=req.has_header('Transfer-encoding'))<br>\n   1351             except OSError as err: # timeout error</p>",
      "rawMarkdown": "I tried to load a .tph model of size 450MB and receive an   URLError: <urlopen error [Errno -3] Temporary failure in name resolution>.\nIn the beggining i receive /opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)\n   1349                 h.request(req.get_method(), req.selector, req.data, headers,\n-> 1350                           encode_chunked=req.has_header('Transfer-encoding'))\n   1351             except OSError as err: # timeout error",
      "votes": null
    },
    {
      "id": "1996329",
      "postDate": "10/20/2022 07:35:18",
      "content": "<p>There is no limit, it is probably how you are saving and loading it. Could you share your code?</p>",
      "rawMarkdown": "There is no limit, it is probably how you are saving and loading it. Could you share your code?",
      "votes": null
    },
    {
      "id": "1996802",
      "postDate": "10/20/2022 12:37:39",
      "content": "<p>seems like a network connection error.<br>\ndid you set <code>pretrained = True</code> ?</p>",
      "rawMarkdown": "seems like a network connection error.\ndid you set `pretrained = True` ?",
      "votes": null
    },
    {
      "id": "1998224",
      "postDate": "10/21/2022 13:22:50",
      "content": "<p>Thanks, I was thinking that there exists some limitation. I think I have uploaded a corrupted file using a pen drive since when I upload again this file Kaggle did not recognize it like a duplicate. </p>",
      "rawMarkdown": "Thanks, I was thinking that there exists some limitation. I think I have uploaded a corrupted file using a pen drive since when I upload again this file Kaggle did not recognize it like a duplicate.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1996329,
      "author_name": "samuelcortinhas",
      "author_url": "",
      "post_date": "10/20/2022 07:35:18",
      "content": "<p>There is no limit, it is probably how you are saving and loading it. Could you share your code?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1998224,
          "author_name": "pierretisseur",
          "author_url": "",
          "post_date": "10/21/2022 13:22:50",
          "content": "<p>Thanks, I was thinking that there exists some limitation. I think I have uploaded a corrupted file using a pen drive since when I upload again this file Kaggle did not recognize it like a duplicate. </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1996802,
      "author_name": "haqishen",
      "author_url": "",
      "post_date": "10/20/2022 12:37:39",
      "content": "<p>seems like a network connection error.<br>\ndid you set <code>pretrained = True</code> ?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1995993": "I tried to load a .tph model of size 450MB and receive an   URLError: <urlopen error [Errno -3] Temporary failure in name resolution>.\nIn the beggining i receive /opt/conda/lib/python3.7/urllib/request.py in do_open(self, http_class, req, **http_conn_args)\n   1349                 h.request(req.get_method(), req.selector, req.data, headers,\n-> 1350                           encode_chunked=req.has_header('Transfer-encoding'))\n   1351             except OSError as err: # timeout error",
    "1996329": "There is no limit, it is probably how you are saving and loading it. Could you share your code?",
    "1996802": "seems like a network connection error.\ndid you set `pretrained = True` ?",
    "1998224": "Thanks, I was thinking that there exists some limitation. I think I have uploaded a corrupted file using a pen drive since when I upload again this file Kaggle did not recognize it like a duplicate."
  },
  "source": "meta"
}