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Скачать или смотреть How to Upload Files to Colab from GitHub Without Using Google Drive

  • vlogize
  • 2025-05-25
  • 1
How to Upload Files to Colab from GitHub Without Using Google Drive
How to upload files to Colab from Github without using Google Drive?pythonlinuxjupyter notebookgoogle drive apigoogle colaboratory
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Описание к видео How to Upload Files to Colab from GitHub Without Using Google Drive

Discover a simple and efficient way to `upload files to Google Colab` directly from your GitHub repository without the hassle of Google Drive integration.
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This video is based on the question https://stackoverflow.com/q/72301005/ asked by the user 'janpeter' ( https://stackoverflow.com/u/9751398/ ) and on the answer https://stackoverflow.com/a/72301845/ provided by the user 'janpeter' ( https://stackoverflow.com/u/9751398/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to upload files to Colab from Github without using Google Drive?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Upload Files to Colab from GitHub Without Using Google Drive

Google Colaboratory (Colab) is an incredibly powerful tool for machine learning and data science. However, if you're new to using Colab, you might encounter some challenges when it comes to uploading files from your GitHub repository directly to your Colab workspace. This post will guide you through the steps on how to successfully do so without relying on Google Drive.

The Problem

You may want to upload files from your GitHub repository into your Colab workspace for various reasons, such as quick sharing of notebooks with others or reducing dependency on Google Drive. In this instance, you attempted to clone a repository and execute files from it, but faced issues when running certain files, resulting in errors.

Here’s the code snippet you initially tried:

[[See Video to Reveal this Text or Code Snippet]]

Although you managed to clone the repository, the subsequent commands generated errors:

Error while attempting to run file1.py: ERROR: root:File 'file1.py' not found.

Error loading file2.zip: SyntaxError: invalid or missing encoding declaration for 'folder1/file2.zip'

Despite seeing that the folder was created correctly, it became clear that some command adjustments were needed.

The Solution

To successfully load and run your GitHub files in Colab without using Google Drive, you simply need to adjust your workflow when navigating directories. Here’s the corrected process:

Step-by-Step Guide

Clone the Repository: You begin by cloning your GitHub repository to your Colab environment.

Change Directory: Move into the cloned repository’s directory.

Run Your Python File: Execute your target Python scripts directly within that directory.

Updated Code

Here’s the modified version of your original code:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of Changes

%cd folder1: This command changes the working directory to the cloned folder. Without this step, your Colab notebook would still be looking for file1.py and file2.zip in the root directory instead of the actual cloned folder.

Conclusion

By following these steps, you can effectively upload and run files from your GitHub repository in your Colab notebook without relying on Google Drive. This not only simplifies your workflow but also makes it easier to share your notebooks with others. Just remember to always change into your cloned directory before executing your files. Happy coding!

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