metadata
license: cc-by-4.0
widget:
- text: >-
This house was let out in tiny tenements and was inhabited by working
people of all kinds--tailors, locksmiths, cooks, Germans ofsorts, girls
picking up a living as best they could, petty clerks, etc.
example_title: Crime and Punishment
- text: >-
Quixote having got on his back and the duke mounted a fine horse, they
placed the duchess in the middle and set out for the castle.
example_title: Don Quixote
- text: >-
The noble carriage of this gentleman, for whom he believed himself to be
engaged, had won Planchet—that was the name of the Picard.
example_title: The Three Musketeers
Description
A roberta-base model which has been fine tuned for token classification on the LitBank dataset.
Intended Use
This model is ready to be used for entity recognition. It is capable of tagging the 6 entity types from ACE 2005
- Person (PER)
- ORG
- GPE
- LOC
- VEH
- FAC
Due to the fine-tuning domain, it is expected to work best with literary sentences.