English rubert_base_cased_news_pipeline pipeline BertForSequenceClassification from VladimML

Description

Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rubert_base_cased_news_pipeline is a English model originally trained by VladimML.

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How to use


pipeline = PretrainedPipeline("rubert_base_cased_news_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("rubert_base_cased_news_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: rubert_base_cased_news_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 666.5 MB

References

https://huggingface.co/VladimML/rubert-base-cased-news

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForSequenceClassification