|
|
|
@ -93,7 +93,10 @@ Supported entity types are PER, LOC and ORG.
|
|
|
|
|
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
|
|
|
|
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
|
|
|
|
|
|
|
|
|
|
## Downstream Use [Optional]
|
|
|
|
|
## Downstream Use
|
|
|
|
|
|
|
|
|
|
The model has been pre-trained on 2.300.000 pages of OCR-text of the digitized collections of Berlin State Library.
|
|
|
|
|
Therefore it is adapted to OCR-error prone historical german texts and might be used for particular applications that involve such text material.
|
|
|
|
|
|
|
|
|
|
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
|
|
|
|
<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
|
|
|
|
|