English sent_mailru_bert_base_pipeline pipeline BertSentenceEmbeddings from gblssroman

Description

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

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How to use


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


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

Model Information

Model Name: sent_mailru_bert_base_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 408.0 MB

References

https://huggingface.co/gblssroman/mailru-bert-base

Included Models

  • DocumentAssembler
  • TokenizerModel
  • SentenceDetectorDLModel
  • BertSentenceEmbeddings