English pipeline_image_classifier_vit_new_exper3 ViTForImageClassification from sudo-s

Description

Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_new_exper3 is a English model originally trained by sudo-s.

Predicted Entities

45, 98, 113, 34, 67, 120, 93, 142, 147, 12, 66, 89, 51, 124, 84, 8, 73, 78, 19, 100, 23, 62, 135, 128, 4, 121, 88, 77, 40, 110, 15, 11, 104, 90, 9, 141, 139, 132, 44, 33, 117, 22, 56, 55, 26, 134, 50, 123, 37, 68, 61, 107, 13, 46, 99, 24, 94, 83, 35, 16, 79, 5, 103, 112, 72, 10, 59, 144, 87, 48, 21, 116, 76, 138, 54, 43, 148, 127, 65, 71, 57, 108, 32, 80, 106, 137, 82, 49, 6, 126, 36, 1, 39, 140, 17, 25, 60, 14, 133, 47, 122, 111, 102, 31, 96, 69, 95, 58, 145, 64, 53, 42, 75, 115, 109, 0, 20, 27, 70, 2, 86, 38, 81, 118, 92, 125, 18, 101, 30, 7, 143, 97, 130, 114, 129, 29, 41, 105, 63, 3, 74, 91, 52, 85, 131, 28, 119, 136, 146

Download Copy S3 URI

How to use


    pipeline = PretrainedPipeline('pipeline_image_classifier_vit_new_exper3', lang = 'en')
    annotations =  pipeline.transform(imageDF)
    

    val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_new_exper3", lang = "en")
    val annotations = pipeline.transform(imageDF)
    

Model Information

Model Name: pipeline_image_classifier_vit_new_exper3
Type: pipeline
Compatibility: Spark NLP 4.2.1+
License: Open Source
Edition: Official
Language: en
Size: 322.3 MB

Included Models

  • ImageAssembler
  • ViTForImageClassification