English bge_base_custom_matryoshka_pipeline pipeline BGEEmbeddings from mahsaBa76

Description

Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_base_custom_matryoshka_pipeline is a English model originally trained by mahsaBa76.

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How to use


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


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

Model Information

Model Name: bge_base_custom_matryoshka_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 382.6 MB

References

https://huggingface.co/mahsaBa76/bge-base-custom-matryoshka

Included Models

  • DocumentAssembler
  • BGEEmbeddings