Description
Pretrained VIT model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.image_classifier_vit_Visual_transformer_chihuahua_cookies is a English model originally trained by peterbonnesoeur.
Predicted Entities
samoyed, chihuahua, shiba inu, cookies, corgi
How to use
pipeline = PretrainedPipeline('pipeline_image_classifier_vit_Visual_transformer_chihuahua_cookies', lang = 'en')
annotations = pipeline.transform(imageDF)
val pipeline = new PretrainedPipeline("pipeline_image_classifier_vit_Visual_transformer_chihuahua_cookies", lang = "en")
val annotations = pipeline.transform(imageDF)
Model Information
| Model Name: | pipeline_image_classifier_vit_Visual_transformer_chihuahua_cookies |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.2.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 321.9 MB |
Included Models
- ImageAssembler
- ViTForImageClassification