I have created a
DatasectDict object contain nested
Dataset objects for ‘train’ and test’ inputs. I have saved it locally using
DatasectDict.save_to_disk, but I am not quite sure how to load this into google colab? Is there a simple way to accomplish this?
Thanks for the help!
I upload my datasets into google drive and then connect my colab with google drive like this.
Then you load your dataset
You the best @Petar.
I am thankful for your help and hope you have a great weekend.
Hi! It’s even easier to use
push_to_hub on a local dataset (set
private=True to make it private) and then load it from the Hub using
load_dataset("<username>/<dataset>", use_auth_token=True) after authenticating with:
from huggingface_hub import notebook_login