NLP_with_Hugging_Face_Transformers

A project where we see different machine learning algorithms in use with Hugging face pre-trained models

Scope of the project:

• Review of machine learning (ML) for natural language processing (NLP)
• Introduction to transformers and their architectures
• Introduction to Hugging Face
• Using pre-trained transformers from Hugging Face for:
  • Sentiment analysis
  • Named entity recognition
  • Question-Answering(Qu-An)
  • SQuAD metric
  • Text Summarization
  • Natural Language Generation
  • The ROUGE score
  • Customizing models with Transfer Learning
  • Deployment