tokenizer.py ---> How to use distilbert tokenizer.
sentiment-classification.ipynb ---> Used the distilbert as feature extractor and trained logistic regression.
Finetuning-Transformer-pytorch ---> Finetuned distilbert completely and uploaded the trained model on the hugging face.
using-our-finetuned-model.ipynb ---> Used the psuhed model from hugging face directly. Lables name are bit messed up but you will get the idea.
Thanks :) Fin