{
  "id": 426815,
  "title": "Organizers! Help needed with clarifying rules!!!",
  "url": "/competitions/bengaliai-speech/discussion/426815",
  "author_name": "",
  "post_date": "2023-07-25T08:09:12.503911Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/competitions/bengaliai-speech/discussion/426168\" target=\"_blank\">https://www.kaggle.com/competitions/bengaliai-speech/discussion/426168</a><br>\nPosted the question 3 days ago and posting it again :). <br>\nCan someone clarify if I can do training on my ubuntu machine and only do inference in my submitted Notebook?<br>\nIf I become one of the winners of the competition I don't mind submitting all the code. I will be training the model from scratch and my solution doesn't involve whisper or fine-tuning any publicly available model.<br>\nThanks</p>",
  "messages": [
    {
      "id": "2357941",
      "postDate": "07/25/2023 08:09:12",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/bengaliai-speech/discussion/426168\" target=\"_blank\">https://www.kaggle.com/competitions/bengaliai-speech/discussion/426168</a><br>\nPosted the question 3 days ago and posting it again :). <br>\nCan someone clarify if I can do training on my ubuntu machine and only do inference in my submitted Notebook?<br>\nIf I become one of the winners of the competition I don't mind submitting all the code. I will be training the model from scratch and my solution doesn't involve whisper or fine-tuning any publicly available model.<br>\nThanks</p>",
      "rawMarkdown": "https://www.kaggle.com/competitions/bengaliai-speech/discussion/426168\nPosted the question 3 days ago and posting it again :). \nCan someone clarify if I can do training on my ubuntu machine and only do inference in my submitted Notebook?\nIf I become one of the winners of the competition I don't mind submitting all the code. I will be training the model from scratch and my solution doesn't involve whisper or fine-tuning any publicly available model.\nThanks",
      "votes": null
    },
    {
      "id": "2357951",
      "postDate": "07/25/2023 08:16:30",
      "content": "<p>Not an organizer.</p>\n<p>But yes. You can train in your local machine. In fact, it is hard to train with this much data in Kaggle NB's. You're okay as long as you run and submit the inference NB in kaggle!</p>",
      "rawMarkdown": "Not an organizer.\n\nBut yes. You can train in your local machine. In fact, it is hard to train with this much data in Kaggle NB's. You're okay as long as you run and submit the inference NB in kaggle!",
      "votes": null
    },
    {
      "id": "2357974",
      "postDate": "07/25/2023 08:34:08",
      "content": "<p>Thanks this helps!</p>",
      "rawMarkdown": "Thanks this helps!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2357951,
      "author_name": "mbmmurad",
      "author_url": "",
      "post_date": "07/25/2023 08:16:30",
      "content": "<p>Not an organizer.</p>\n<p>But yes. You can train in your local machine. In fact, it is hard to train with this much data in Kaggle NB's. You're okay as long as you run and submit the inference NB in kaggle!</p>",
      "votes": null,
      "replies": [
        {
          "id": 2357974,
          "author_name": "robot2020",
          "author_url": "",
          "post_date": "07/25/2023 08:34:08",
          "content": "<p>Thanks this helps!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2357941": "https://www.kaggle.com/competitions/bengaliai-speech/discussion/426168\nPosted the question 3 days ago and posting it again :). \nCan someone clarify if I can do training on my ubuntu machine and only do inference in my submitted Notebook?\nIf I become one of the winners of the competition I don't mind submitting all the code. I will be training the model from scratch and my solution doesn't involve whisper or fine-tuning any publicly available model.\nThanks",
    "2357951": "Not an organizer.\n\nBut yes. You can train in your local machine. In fact, it is hard to train with this much data in Kaggle NB's. You're okay as long as you run and submit the inference NB in kaggle!",
    "2357974": "Thanks this helps!"
  },
  "source": "meta"
}