English bge_base_matryoshka_aws_casestudies_pipeline pipeline BGEEmbeddings from anishareddyalla

Description

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

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How to use


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


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

Model Information

Model Name: bge_base_matryoshka_aws_casestudies_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 390.4 MB

References

https://huggingface.co/anishareddyalla/bge-base-matryoshka-aws-casestudies

Included Models

  • DocumentAssembler
  • BGEEmbeddings