English multi_qa_mpnet_base_cos_v1_sentence_transformers_pipeline pipeline MPNetEmbeddings from sentence-transformers

Description

Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multi_qa_mpnet_base_cos_v1_sentence_transformers_pipeline is a English model originally trained by sentence-transformers.

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How to use


pipeline = PretrainedPipeline("multi_qa_mpnet_base_cos_v1_sentence_transformers_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_cos_v1_sentence_transformers_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: multi_qa_mpnet_base_cos_v1_sentence_transformers_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 406.7 MB

References

https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-cos-v1

Included Models

  • DocumentAssembler
  • MPNetEmbeddings