This is kind of an annoying work-around if you have a low performance laptop running linux.
- Install anaconda3, then install fastai. This should be enough to run the jupyter notebook locally.
- Use amatic’s suggestion of mounting google drive (then set the path to ‘gdrive/fastai_data’ or something similar):
- Run the notebook in colab up to the point where you want to run the cleaner.
- Download the data and the notebook from google drive to your local machine.
- Run the notebook locally until you have created the “learn” object, but not done any learning (this is the part you don’t want to run locally on a low performance machine).
- Then skip to learn.load(‘stage-2’). This should work just fine since it should have been downloaded with the data.
- Run the cleaner locally.
- Upload “cleaned.csv” to google drive.
- Reload the data set using “cleaned.csv” and continue working.