Russian sbert_punc_case_russian_pipeline pipeline BertForTokenClassification from kontur-ai

Description

Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sbert_punc_case_russian_pipeline is a Russian model originally trained by kontur-ai.

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How to use


pipeline = PretrainedPipeline("sbert_punc_case_russian_pipeline", lang = "ru")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("sbert_punc_case_russian_pipeline", lang = "ru")
val annotations = pipeline.transform(df)

Model Information

Model Name: sbert_punc_case_russian_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: ru
Size: 1.0 GB

References

https://huggingface.co/kontur-ai/sbert_punc_case_ru

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForTokenClassification