English e5_base_unsupervised_pseudo_gpl_fiqa_131a12_d23573_pipeline pipeline E5Embeddings from rithwik-db

Description

Pretrained E5Embeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.e5_base_unsupervised_pseudo_gpl_fiqa_131a12_d23573_pipeline is a English model originally trained by rithwik-db.

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How to use


pipeline = PretrainedPipeline("e5_base_unsupervised_pseudo_gpl_fiqa_131a12_d23573_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("e5_base_unsupervised_pseudo_gpl_fiqa_131a12_d23573_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: e5_base_unsupervised_pseudo_gpl_fiqa_131a12_d23573_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 402.6 MB

References

https://huggingface.co/rithwik-db/e5-base-unsupervised-pseudo-gpl-fiqa-131a12-d23573

Included Models

  • DocumentAssembler
  • E5Embeddings