English flan_t5_small_7000mcq_answer_generator_pipeline pipeline T5Transformer from aayeshanakarmi

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.flan_t5_small_7000mcq_answer_generator_pipeline is a English model originally trained by aayeshanakarmi.

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How to use


pipeline = PretrainedPipeline("flan_t5_small_7000mcq_answer_generator_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("flan_t5_small_7000mcq_answer_generator_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: flan_t5_small_7000mcq_answer_generator_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 349.8 MB

References

https://huggingface.co/aayeshanakarmi/Flan-T5-Small-7000MCQ-Answer-Generator

Included Models

  • DocumentAssembler
  • T5Transformer