English test_100_food_ai_innovation_pipeline pipeline SwinForImageClassification from Santipab

Description

Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.test_100_food_ai_innovation_pipeline is a English model originally trained by Santipab.

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How to use


pipeline = PretrainedPipeline("test_100_food_ai_innovation_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("test_100_food_ai_innovation_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: test_100_food_ai_innovation_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 650.5 MB

References

https://huggingface.co/Santipab/Test_100_Food_AI_Innovation

Included Models

  • ImageAssembler
  • SwinForImageClassification