German fiction_gbert_large_droc_np_ner_pipeline pipeline BertForTokenClassification from LennartKeller

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.fiction_gbert_large_droc_np_ner_pipeline is a German model originally trained by LennartKeller.

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How to use


pipeline = PretrainedPipeline("fiction_gbert_large_droc_np_ner_pipeline", lang = "de")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("fiction_gbert_large_droc_np_ner_pipeline", lang = "de")
val annotations = pipeline.transform(df)

Model Information

Model Name: fiction_gbert_large_droc_np_ner_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: de
Size: 1.3 GB

References

https://huggingface.co/LennartKeller/fiction-gbert-large-droc-np-ner

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification