nlp-sandbox

At a high level, this repo will implement transformers

This repo is an implementation of the Hugging Face NLP Course

1. Transformer Models
2. Using transformers
3. Fine-Tuning a Pre-Trained Models

According to ChatGPT, an NLP Study Plan Would Consist of:

1. Foundations - basic text proprocessing
2. Classic NLP Techniques - for instance, TF-IDF and word embeddings
3. Deep Learning for NLP - LSTM for text generation
4. Transformers - fine tune BERT
5. Advanced NLP - build a chatbot
6. Application Development and Development