English deit_base_patch16_224_plant_seedling_classification_pipeline pipeline ViTForImageClassification from uisikdag

Description

Pretrained ViTForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.deit_base_patch16_224_plant_seedling_classification_pipeline is a English model originally trained by uisikdag.

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How to use


pipeline = PretrainedPipeline("deit_base_patch16_224_plant_seedling_classification_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("deit_base_patch16_224_plant_seedling_classification_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: deit_base_patch16_224_plant_seedling_classification_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 321.3 MB

References

https://huggingface.co/uisikdag/deit-base-patch16-224-plant-seedling-classification

Included Models

  • ImageAssembler
  • ViTForImageClassification