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

English pipeline_image_classifier_vit_test_model_a ViTForImageClassification from nateraw

  • 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_test_model_a is a English model originally trained by nateraw.

Predicted Entities

cat, dog

Download Copy S3 URI

How to use


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


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

Model Information

Model Name: pipeline_image_classifier_vit_test_model_a
Type: pipeline
Compatibility: Spark NLP 4.2.1+
License: Open Source
Edition: Official
Language: en
Size: 283.0 KB

Included Models

  • ImageAssembler
  • ViTForImageClassification