English doc2query_t5_base_msmarco_10000_pipeline pipeline T5Transformer from yashonwu

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.doc2query_t5_base_msmarco_10000_pipeline is a English model originally trained by yashonwu.

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How to use


pipeline = PretrainedPipeline("doc2query_t5_base_msmarco_10000_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("doc2query_t5_base_msmarco_10000_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: doc2query_t5_base_msmarco_10000_pipeline
Type: pipeline
Compatibility: Spark NLP 5.4.2+
License: Open Source
Edition: Official
Language: en
Size: 966.9 MB

References

https://huggingface.co/yashonwu/doc2query-t5-base-msmarco-10000

Included Models

  • DocumentAssembler
  • T5Transformer