English pipeline_image_classifier_vit_exper_batch_32_e8 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_exper_batch_32_e8 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

Live Demo Open in Colab Download Copy S3 URI

How to use

    pipeline = PretrainedPipeline('pipeline_image_classifier_vit_exper_batch_32_e8', lang = 'en')
    annotations =  pipeline.transform(imageDF)
    

    val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_exper_batch_32_e8", lang = "en")
    val annotations = pipeline.transform(imageDF)
    

Model Information

Included Models

• ImageAssembler
• ViTForImageClassification