English pipeline_image_classifier_vit_base_patch32_384_finetuned_eurosat ViTForImageClassification from keithanpai

Description

Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_base_patch32_384_finetuned_eurosat is a English model originally trained by keithanpai.

Predicted Entities

dff, bklf, nvf, vascf, akiecf, bccf, melf

Download Copy S3 URI

How to use


    pipeline = PretrainedPipeline('pipeline_image_classifier_vit_base_patch32_384_finetuned_eurosat', lang = 'en')
    annotations =  pipeline.transform(imageDF)
    

    val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_base_patch32_384_finetuned_eurosat", lang = "en")
    val annotations = pipeline.transform(imageDF)
    

Model Information

Model Name: pipeline_image_classifier_vit_base_patch32_384_finetuned_eurosat
Type: pipeline
Compatibility: Spark NLP 4.2.1+
License: Open Source
Edition: Official
Language: en
Size: 328.5 MB

Included Models

  • ImageAssembler
  • ViTForImageClassification