For small datasets, a common approach is to simply store your data on your local computer, and upload it to the Colab runtime everytime via the internet. This approach is not feasible when datasets become large: in our experience, it can take up to 6 hours to upload a <2 GB dataset to the Colab environment. We need a faster way to access our I showed you 2 different ways to upload or access files from your Google Drive by your Google Colab. Mounting your Google Drive into your Google Colab - You can save files as well into your Google Drive by navigating through folders. Pros: You mount your whole Google Drive into your Google Colab notebook. Disk space of 78 GB in google colab pro. I bought google colab pro subscription a few days back to finetune a few LLMs. However, I am disappointed to get the message "Disk is almost full" everytime. With Pro, the assigned disk space is 78 GB. Is this all that we get? You will have to remove the objects that are still stored in ram such as your dataframes using 'del' and then try using `gc.collect ()` (import gc which is python garbage collector (I don't think it will affect that much as automatic garbage collection is always there)) 1. true. Step 1: Use colab notebook as a Shell. Visit Google Colaboratory website; Click on New Notebook button. A blank notebook is initialized and opened; Step 2: Mount Google Drive to Google Colab Notebook It's a 2 step process. Step 1 : First invoke a file selector with in your colab notebook with the following code. from google.colab import files uploaded = files.upload () this will take you to a file browser window. step 2 : To load the content of the file into Pandas dataframe, use the following code. import pandas as pd import io df = pd 4. Amazon SageMaker Studio Notebook. Amazon Sagemaker Studio Notebooks is a fully-managed notebook instance that allows data scientists and developers to quickly spin up a machine learning environment in the cloud. It supports popular programming languages and frameworks such as Python, TensorFlow, and PyTorch. Step 1: Mounting Google Drive. The first step is to mount Google Drive in Google Colab. This allows you to access the files stored in your Drive account from within Colab. To mount your Drive account, run the following code: This will prompt you to authenticate your Google account and grant permission to Colab to access your Drive files. .

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