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  • John Snow Labs
  • Mar 28, 2025

Serbian bcms_bertic_comtext_serbian_legal_ner_ekavica_pipeline pipeline BertForTokenClassification from ICEF-NLP

  • sr
  • open_source
  • pipeline
  • onnx

Description

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

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How to use


pipeline = PretrainedPipeline("bcms_bertic_comtext_serbian_legal_ner_ekavica_pipeline", lang = "sr")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("bcms_bertic_comtext_serbian_legal_ner_ekavica_pipeline", lang = "sr")
val annotations = pipeline.transform(df)

Model Information

Model Name: bcms_bertic_comtext_serbian_legal_ner_ekavica_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: sr
Size: 412.8 MB

References

https://huggingface.co/ICEF-NLP/bcms-bertic-comtext-sr-legal-ner-ekavica

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification