English ukrainian_mt5_small_gec_synthetic_2_pipeline pipeline T5Transformer from kravchenko

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ukrainian_mt5_small_gec_synthetic_2_pipeline is a English model originally trained by kravchenko.

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How to use


pipeline = PretrainedPipeline("ukrainian_mt5_small_gec_synthetic_2_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("ukrainian_mt5_small_gec_synthetic_2_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: ukrainian_mt5_small_gec_synthetic_2_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 310.3 MB

References

https://huggingface.co/kravchenko/uk-mt5-small-gec-synthetic-2

Included Models

  • DocumentAssembler
  • T5Transformer