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add example

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  1. README.md +7 -5
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  ---
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  license: cc-by-4.0
 
 
 
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  ---
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  ### Description
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  A `roberta-base` model which has been fine tuned for token classification on the [LitBank](https://github.com/dbamman/litbank) dataset.
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  ### Intended Use
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- This model is ready to be used for entity recognition. It is capable of tagging the 6 entity types from ACE 2005.
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- - PER
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- - FAC
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  - GPE
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  - LOC
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  - VEH
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- - ORG
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  Due to the fine-tuning domain, it is expected to work best with literary sentences.
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-
 
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  license: cc-by-4.0
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+ widget:
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+ - 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.
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+ example_title: "Don Quixote"
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  ---
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  ### Description
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  A `roberta-base` model which has been fine tuned for token classification on the [LitBank](https://github.com/dbamman/litbank) dataset.
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  ### Intended Use
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+ This model is ready to be used for entity recognition. It is capable of tagging the 6 entity types from [ACE 2005](https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/english-entities-guidelines-v6.6.pdf)
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+ - Person (PER)
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+ - ORG
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  - GPE
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  - LOC
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  - VEH
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+ - FAC
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  Due to the fine-tuning domain, it is expected to work best with literary sentences.