Description
Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_computer_stuff is a English model originally trained by iyzg.
Predicted Entities
desktop, monitor, keyboard, computer mouse, laptop
How to use
pipeline = PretrainedPipeline('pipeline_image_classifier_vit_computer_stuff', lang = 'en')
annotations = pipeline.transform(imageDF)
val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_computer_stuff", lang = "en")
val annotations = pipeline.transform(imageDF)
Model Information
| Model Name: | pipeline_image_classifier_vit_computer_stuff |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.2.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 321.9 MB |
Included Models
- ImageAssembler
- ViTForImageClassification