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Today we demonstrate annotation and training for entity extraction only. For many use cases document classification is also important, and it should be pretty straightforward to support this too.
A sequence classification task is already supported in the open source (e.g. LayoutLMv2ForSequenceClassification), but joint cls+ner with a single model might be performant and more economical for users - and not require too much extra effort.
The text was updated successfully, but these errors were encountered:
Today we demonstrate annotation and training for entity extraction only. For many use cases document classification is also important, and it should be pretty straightforward to support this too.
A sequence classification task is already supported in the open source (e.g. LayoutLMv2ForSequenceClassification), but joint cls+ner with a single model might be performant and more economical for users - and not require too much extra effort.
The text was updated successfully, but these errors were encountered: