Is it possible to use any datasets available via the kaggle API in Google Colab? I see the Kaggle API is used in this Colab notebook, but it's a bit unclear to me what datasets it provides access to.
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Error: expected str, bytes or os.PathLike object, not NoneType Traceback (most recent call last): File "/content/DeepFaceLab/mainscripts/Trainer.py", line 22, in trainerThread pretraining_data_path = Path( args.get('pretraining_data_dir… Google Colab notebooks (and other resources) are located in Google Drive under Colab Notebooks directory. If you are using Colab for the first time, open Colab and save one of the example notebooks. Create your own Question and Answering system using BERT pre-trained model + Squad 2.0 dataset with free TPU on Google Colab. This short post shows you how to get GPU and CUDA backend Pytorch running on Colab quickly and freely. Retrain model to classify images. Contribute to EN10/TransferLearnColab development by creating an account on GitHub. assorted utils for use with `Colaboratory` . Contribute to mixuala/colab_utils development by creating an account on GitHub.
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import csv # We can use on localhost opened_file = open ( dataset_url , encoding = "utf8" ) read_file = csv . reader ( opened_file ) # But we CAN'T use this `open` for the link from Github, we use: from urllib.request import urlopen opened…