English mpnet_base_gistembedloss_msee_evaluator_salestax_docs_pipeline pipeline MPNetEmbeddings from Areeb-02

Description

Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mpnet_base_gistembedloss_msee_evaluator_salestax_docs_pipeline is a English model originally trained by Areeb-02.

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How to use


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


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

Model Information

Model Name: mpnet_base_gistembedloss_msee_evaluator_salestax_docs_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 379.7 MB

References

https://huggingface.co/Areeb-02/mpnet-base-GISTEmbedLoss-MSEE_Evaluator-salestax-docs

Included Models

  • DocumentAssembler
  • MPNetEmbeddings