English cgiar_crop_disease_pipeline pipeline SwinForImageClassification from Professor

Description

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

Download Copy S3 URI

How to use


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


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

Model Information

Model Name: cgiar_crop_disease_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 206.3 MB

References

https://huggingface.co/Professor/CGIAR-Crop-disease

Included Models

  • ImageAssembler
  • SwinForImageClassification