English medical_bge_large_english_v1_5_pipeline pipeline BGEEmbeddings from Codingchild

Description

Pretrained BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.medical_bge_large_english_v1_5_pipeline is a English model originally trained by Codingchild.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("medical_bge_large_english_v1_5_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("medical_bge_large_english_v1_5_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: medical_bge_large_english_v1_5_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 1.2 GB

References

https://huggingface.co/Codingchild/medical-bge-large-en-v1.5

Included Models

  • DocumentAssembler
  • BGEEmbeddings