Hi everyone,
I recently decided to make practical coding guides for hugging face because I thought videos like these would have been useful for when I was learning the basics. I have made one on the basics of the Hugging Face library / website and its layout (and BERT basics). The second one is a guide using pytorch / pytorch lightning and hugging face to fine tune RoBERTa / BERT on a multi-label classification task to predict unhealthy online comments (attributes include things such as sarcasm, etc.). Let me know if you find this useful! links below:
Hugging Face basics tutorial 8
Pytorch multi-label classification with RoBERTa - state of the art results on the Unhealthy Comment Corpus 3