{
  "id": 101234,
  "title": "Call for help, error occured when load pretrained .pkl file",
  "url": "/competitions/aptos2019-blindness-detection/discussion/101234",
  "author_name": "leixiang@AInnovation",
  "post_date": "2019-07-24T08:25:24.850000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I trained effcientnet on my local machine, the training phase and inference phase all work very well, when in kernel, i want to load my pretrained model using the following script:\nlearn = load_learner('../input/modeltest/')\ndifferent error always occured, can anybody tell me how to load a fast ai trained model in kernel? The same code work very well on local machine but failed in kernel</p>",
  "messages": [
    {
      "id": 583251,
      "postDate": "2019-07-24T08:25:24.850Z",
      "content": "<p>I trained effcientnet on my local machine, the training phase and inference phase all work very well, when in kernel, i want to load my pretrained model using the following script:\nlearn = load_learner('../input/modeltest/')\ndifferent error always occured, can anybody tell me how to load a fast ai trained model in kernel? The same code work very well on local machine but failed in kernel</p>",
      "rawMarkdown": "I trained effcientnet on my local machine, the training phase and inference phase all work very well, when in kernel, i want to load my pretrained model using the following script:\nlearn = load_learner('../input/modeltest/')\ndifferent error always occured, can anybody tell me how to load a fast ai trained model in kernel? The same code work very well on local machine but failed in kernel"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "583251": "I trained effcientnet on my local machine, the training phase and inference phase all work very well, when in kernel, i want to load my pretrained model using the following script:\nlearn = load_learner('../input/modeltest/')\ndifferent error always occured, can anybody tell me how to load a fast ai trained model in kernel? The same code work very well on local machine but failed in kernel"
  }
}