The repository contains a list of the projects which I have worked on while reading Hugging Face 🤗.
- The Transformer Models notebook is a comprehensive notebook as it contains a list of real world applications of Transformers such as Sentiment Analysis, Zero-shot Classification, Text Generation, Mask Filling, Named Entity Recognition, Question Answering, Summarization, and Translation.
- The Pipeline Function notebook is a comprehensive notebook as it contains all three steps of the pipeline: preprocessing with tokenizers, passing the inputs through the model, and postprocessing the outputs.
- The Tokenizers & Models notebook contains the comprehensive information about the basic buildings blocks of a Transformer model, tokenization pipeline, limitations of input IDs, attention masks, and configurable tokenizer methods.