English grammar_spelling_correction_pipeline pipeline T5Transformer from TayyMem

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.grammar_spelling_correction_pipeline is a English model originally trained by TayyMem.

Download Copy S3 URI

How to use


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


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

Model Information

Model Name: grammar_spelling_correction_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 285.5 MB

References

https://huggingface.co/TayyMem/Grammar_Spelling_Correction

Included Models

  • DocumentAssembler
  • T5Transformer