English mt5_amharic_antonym_pipeline pipeline T5Transformer from Beck90

Description

Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_amharic_antonym_pipeline is a English model originally trained by Beck90.

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How to use


pipeline = PretrainedPipeline("mt5_amharic_antonym_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("mt5_amharic_antonym_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: mt5_amharic_antonym_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 1.2 GB

References

https://huggingface.co/Beck90/mt5-amharic-antonym

Included Models

  • DocumentAssembler
  • T5Transformer