English real_prompt_300_root_cause_gen_t5_base_pipeline pipeline T5Transformer from ShokSmile

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.real_prompt_300_root_cause_gen_t5_base_pipeline is a English model originally trained by ShokSmile.

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How to use


pipeline = PretrainedPipeline("real_prompt_300_root_cause_gen_t5_base_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("real_prompt_300_root_cause_gen_t5_base_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: real_prompt_300_root_cause_gen_t5_base_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 520.8 MB

References

https://huggingface.co/ShokSmile/real-prompt-300-root_cause-gen-t5-base

Included Models

  • DocumentAssembler
  • T5Transformer