[Code] PyTorch sentiment classifier from scratch with Huggingface NLP Library (Full Tutorial)

Huggingface released its newest library called NLP, which gives you easy access to almost any NLP dataset and metric in one convenient interface. We will combine this with a BERT model from Huggingface's Transformers library to build a sentiment classifier for IMDB.

OUTLINE:
0:00 - Intro
1:30 - Boilerplate
3:20 - PyTorch Lightning Module
9:50 - Load Dataset
12:15 - Tokenization
20:50 - Torch Tensors
25:50 - Data Loader
28:00 - Create BERT Model
32:00 - Implement Validation and Train Step
47:00 - Run & Recap
50:20 - Epilogue

My Code: https://github.com/yk/huggingface-nlp-demo
NLP Library: https://github.com/huggingface/nlp
Tutorial Colab: https://colab.research.google.com/github/huggingface/nlp/blob/master/notebooks/Overview.ipynb
Transformers Library: https://github.com/huggingface/transformers
Pytorch Lightning: https://github.com/PyTorchLightning/pytorch-lightning

Links:
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
BitChute: https://www.bitchute.com/channel/yannic-kilcher
Minds: https://www.minds.com/ykilcher

Видео [Code] PyTorch sentiment classifier from scratch with Huggingface NLP Library (Full Tutorial) канала Yannic Kilcher