English hub_report_20241202125641_pipeline pipeline MPNetForSequenceClassification from Kevinger

Description

Pretrained MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.hub_report_20241202125641_pipeline is a English model originally trained by Kevinger.

Predicted Entities

Download Copy S3 URI

How to use

pipeline = PretrainedPipeline("hub_report_20241202125641_pipeline", lang = "en")
annotations =  pipeline.transform(df)
val pipeline = new PretrainedPipeline("hub_report_20241202125641_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: hub_report_20241202125641_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 409.2 MB

References

References

https://huggingface.co/Kevinger/Hub-Report-20241202125641

Included Models

  • DocumentAssembler
  • TokenizerModel
  • MPNetForSequenceClassification