English sentence_transformers_all_mpnet_base_v2_pipeline pipeline MPNetEmbeddings from ai-human-lab

Description

Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sentence_transformers_all_mpnet_base_v2_pipeline is a English model originally trained by ai-human-lab.

Predicted Entities

Download Copy S3 URI

How to use

pipeline = PretrainedPipeline("sentence_transformers_all_mpnet_base_v2_pipeline", lang = "en")
annotations =  pipeline.transform(df)
val pipeline = new PretrainedPipeline("sentence_transformers_all_mpnet_base_v2_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: sentence_transformers_all_mpnet_base_v2_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 406.9 MB

References

References

References

https://huggingface.co/ai-human-lab/sentence-transformers_all-mpnet-base-v2

Included Models

  • DocumentAssembler
  • MPNetEmbeddings