Edit on GitHub
  • John Snow Labs
  • Oct 12, 2022

English pipeline_image_classifier_vit_ViTFineTuned ViTForImageClassification from pthpth

  • vit
  • en
  • images
  • open_source
  • pipeline

Description

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

Predicted Entities

white_bread, brown_bread, cracker, aluminium_foil, linen, wool, corduroy, wood, lettuce_leaf, cotton, cork

Download Copy S3 URI

How to use


    pipeline = PretrainedPipeline('pipeline_image_classifier_vit_ViTFineTuned', lang = 'en')
    annotations =  pipeline.transform(imageDF)
    


    val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_ViTFineTuned", lang = "en")
    val annotations = pipeline.transform(imageDF)

Model Information

Model Name: pipeline_image_classifier_vit_ViTFineTuned
Type: pipeline
Compatibility: Spark NLP 4.2.1+
License: Open Source
Edition: Official
Language: en
Size: 321.9 MB

Included Models

  • ImageAssembler
  • ViTForImageClassification