https://pair-code.github.io/lit/demos/
Text generation – T5 model to summarize a text.
Fill in the blanks – model predicts token that should fill in the blank when any token from an example sentence is masked out.
Classification and regression models – demo contains binary classification (for sentiment analysis, using SST2), multi-class classification (for textual entailment)
Gender bias in coreference systems – gendered associations in a coreference system, which matches pronouns to their antecedents.