German ner_newsagency_bert_german_pipeline pipeline BertForTokenClassification from impresso-project

Description

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

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How to use


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


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

Model Information

Model Name: ner_newsagency_bert_german_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: de
Size: 407.0 MB

References

https://huggingface.co/impresso-project/ner-newsagency-bert-de

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification