Mounting Google Drive using google.colab.drive Instructions from google.colab import drive drive.mount('drive') Results. I found that this approach would cache too much data to disk, leading to “out of space” errors after a small portion of the training data has been processed. Mounting Google Drive using google-drive-ocamlfuse Instructions In this video, I will show you how to handle files on Google Colab where you will be able to read, write, copy, move and download files (from the internet an Colaboratory, or 'Colab' for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary Python code through the browser, and is especially well suited to machine learning, data analysis and education. More technically, Colab is a hosted Jupyter notebook service that requires no setup to use, while providing If you have space on your google drive, you can download the dataset to there and mount your google drive to colab and use the dataset that way. But if you can't do this or any other methods other commenters suggest, you might have to download Python or Miniconda onto your computer and download the dataset locally. Colaboratory allows to mount Google Drive and use data from Drive but I have massive datasets (including images) on my local system that would take a long time and huge space on drive. So, I am looking for something similar but here I want to mount my local system's Drive. 1. I guess this mean the notebook will be running on your local CPU If you have the choice, you can try colab pro. Then you will have the option to access the high-memory VMs (see here). The price is $9.99/month. One (maybe not very good) is to use a smaller dataset. Note that you have much more disk space than RAM. Unfortuneatly, GPU notebooks have less disk space than regular notebooks. And if you want more storage, then you can upgrade to Colab Pro and get double the storage space in the notebook's local disk. A workaround you could do is to put your data in your Google drive and use that storage with Colab as well as the local drive. In addition to that, one must always be logged in to their Google account, considering all Colaboratory notebooks are stored in Google Drive. Limited Space & Time: The Google Colab platform stores files in Google Drive with a free space of 15GB; however, working on bigger datasets requires more space, making it difficult to execute. This, in Yes, and no. HF Spaces is basically a more advanced version of no-disk Amazon EC2 instance, where the security, HTTPS, sub-domain name have been provided for free. They also offer free HF Spaces with 16GB ram and around 50GB disk (volatile after server restart). There are paid options from T4 up to A100 GPUs with very reasonable price. Google Colab is a cloud-based service that allows you to write and run code in a Jupyter Notebook environment. Jupyter Notebooks are a popular tool for data scientists and developers, as they allow for an interactive coding experience. Google Colab is a free online coding environment that allows you to take advantage of powerful CPUs and GPUs BIKAgmN.