Hi all. I’m excited to be able to dip my toes back into the Julia pond. I’ve missed the community these last few years.
My question is about how to best leverage existing pytorch resources, such as the extensive pretrained NLP models in https://huggingface.co/transformers, while doing research using Flux and other Julia packages.
I understand I can always call it directly through PyCall as a backup, but I’m curious about the best Julia-only approach to exploiting the massive amount of resources going into pytorch packages.
Thanks in advance, and great work with the language and package ecosystem!