# Hugging Face Tutorials - Basics / Classification tasks

**URL:** <https://discuss.huggingface.co/t/hugging-face-tutorials-basics-classification-tasks/13345>\
**Category:** Beginners\
**Created:** [January 3, 2022, 9:02pm UTC](https://discuss.huggingface.co/t/hugging-face-tutorials-basics-classification-tasks/13345 "2022-01-03T21:02:43Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![rupertai](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/rupertai/32/4450_2.png) [@rupertai](https://discuss.huggingface.co/u/rupertai)\
**Post date:** [January 3, 2022, 9:02pm UTC](https://discuss.huggingface.co/t/hugging-face-tutorials-basics-classification-tasks/13345/1 "2022-01-03T21:02:43Z")

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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](https://www.youtube.com/watch?v=DQc2Mi7BcuI&t=1s)

[Pytorch multi-label classification with RoBERTa - state of the art results on the Unhealthy Comment Corpus](https://www.youtube.com/watch?v=vNKIg8rXK6w)

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**Author:** ![osanseviero](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/osanseviero/32/38738_2.png) [@osanseviero](https://discuss.huggingface.co/u/osanseviero)\
**Post date:** [January 3, 2022, 10:06pm UTC](https://discuss.huggingface.co/t/hugging-face-tutorials-basics-classification-tasks/13345/2 "2022-01-03T22:06:15Z")

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This is awesome! Thanks for sharing