English frpile_gpl_test_pipeline_all_mpnet_base_v2_14000_pipeline pipeline MPNetEmbeddings from DragosGorduza

Description

Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.frpile_gpl_test_pipeline_all_mpnet_base_v2_14000_pipeline is a English model originally trained by DragosGorduza.

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How to use


pipeline = PretrainedPipeline("frpile_gpl_test_pipeline_all_mpnet_base_v2_14000_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("frpile_gpl_test_pipeline_all_mpnet_base_v2_14000_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: frpile_gpl_test_pipeline_all_mpnet_base_v2_14000_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 407.1 MB

References

https://huggingface.co/DragosGorduza/FRPile_GPL_test_pipeline_all-mpnet-base-v2_14000

Included Models

  • DocumentAssembler
  • MPNetEmbeddings