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  • John Snow Labs
  • Aug 27, 2024

Chinese dialogue_summary_fill_characters_pipeline pipeline T5Transformer from svjack

  • zh
  • open_source
  • pipeline
  • onnx

Description

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

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("dialogue_summary_fill_characters_pipeline", lang = "zh")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("dialogue_summary_fill_characters_pipeline", lang = "zh")
val annotations = pipeline.transform(df)

Model Information

Model Name: dialogue_summary_fill_characters_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: zh
Size: 983.1 MB

References

https://huggingface.co/svjack/dialogue-summary-fill-characters

Included Models

  • DocumentAssembler
  • T5Transformer