Hugging Face is setting a new standard for open source natural language processing models. The most popular Hugging Face library, Transformers, is at the time of writing approaching 50K stars on GitHub and is one of the fastest growing open source projects in machine learning. Transformers draws on 32+ pretrained models in 100+ languages and offers 8 architectures including GPT-2, BERT, RoBERTa, XLM, DistilliBERT, and more.
After you make a Paperspace account you'll need to head to the console and select Notebooks > Create.
You should now see the Create a notebook flow. From the Recommended runtimes menu you should see a tile for Hugging Face called Transformers + NLP. Select this tile.
Next, select a machine or instance to run your notebook.
After this we can start our notebook and begin exploring!