English extract_long_text_unbalanced_smaller_6_sheng_yen_pipeline pipeline T5Transformer from Sheng-Yen

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.extract_long_text_unbalanced_smaller_6_sheng_yen_pipeline is a English model originally trained by Sheng-Yen.

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How to use


pipeline = PretrainedPipeline("extract_long_text_unbalanced_smaller_6_sheng_yen_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("extract_long_text_unbalanced_smaller_6_sheng_yen_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: extract_long_text_unbalanced_smaller_6_sheng_yen_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 412.8 MB

References

https://huggingface.co/Sheng-Yen/extract_long_text_unbalanced_smaller_6

Included Models

  • DocumentAssembler
  • T5Transformer