Description
Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_planes_airlines is a English model originally trained by suhnylla.
Predicted Entities
planes cathay pacific, planes malaysia airlines, planes delta airlines, planes singapore airlines, planes virgin airlines
How to use
pipeline = PretrainedPipeline('pipeline_image_classifier_vit_planes_airlines', lang = 'en')
annotations = pipeline.transform(imageDF)
val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_planes_airlines", lang = "en")
val annotations = pipeline.transform(imageDF)
Model Information
| Model Name: | pipeline_image_classifier_vit_planes_airlines |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.2.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 321.9 MB |
Included Models
- ImageAssembler
- ViTForImageClassification