5 Answers. Sorted by: 8. From Computers just right click the file and then click Add Shortcut to Drive to the file you would like to open in Colab. This will create a shortcut of that file to Drive. Now when you modify the file there (gdrive) it will automatically be updated on Computers as well. See image below. The RAM and disk status shows that I have used most of my disk storage on Colab. Is there a way to reset it? Or to delete something to free up some more disk space? I know that I can change to GPU which will give me a lot more disk space, however, my models take forever to change, so I would really like to stay with TPU. Thanks in advance! 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. Once all the images are cleaned up, click on the section entitled Done Image Cleaning. To continue the process of saving your cleaned up dataset press Cmd/Ctrl-F10 or Click on the menu Runtime/Run after to run all the remaining steps (including copying your cleaned dataset back into your Google Drive folder) Once the text 'DONE! Suppose that your checkpoint file name is starting with "model_epoch"1) In colab, write these statements in a cell at beginning:!pip install -U -q PyDrive from pydrive.auth import GoogleAuth from pydrive.drive import GoogleDrive from google.colab import auth from oauth2client.client import GoogleCredentials # Authenticate and create the PyDrive client. auth.authenticate_user() gauth The code will run, but of course, since some parts of the model are on the hard disk, it may be slow. The space available on your hard disk is the only limit here. If you have more space and patience, you can try the same with larger models. I wrote another article about device map that you can find here: Google Colab disk space getting full. I'm new to ML and I am now testing some notebooks in Google Colab (using GPU). My first notebook has been running for a few hours with no complaints about RAM or disk space. Hoever, when running another notebook, I soon get warnings that I am already using around 57 GB of my 68 GB disk space. In this video I walk you through how to use the Stable Diffusion image generation model to generate images. You don't have to know how to code or own a fancy gbhE7.

google colab clear disk space